presentation_2.ipynb

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    "# LSL hands-on 2:\n",
    "# Latency tests and how to LSL on a heavy 3D environment\n",
    "<br>\n",
    "\n",
    "### Tea Time 13.08.2020 - Doborah Nolte and Marc Vidal De Palol"
   ]
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   "source": [
    "## Outline\n",
    "\n",
    "1. Recap: Aligning data streams sampled from different sources\n",
    "2. Recap: Lab Streaming Layer (LSL) as data streams aligning solution\n",
    "3. How to use LSL (Unity with EEG use case)\n",
    "4. Test design\n",
    "5. Recap: How does the data look like?\n",
    "6. Results\n",
    "7. Conclusions and remarks\n",
    "8. Future outlook"
   ]
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   "source": [
    "## 1. Recap: Aligning data streams sampled from different sources\n",
    "\n",
    "Data sampling devices have different:\n",
    "- Sampling rates (e.g. 1000Hz for EEG, 60FPS in Unity, 90Hz for Eye-Tracking, etc.)\n",
    "- CPU clocks (diff. CPU clocks between computers, EEG amplifiers, etc.)\n",
    "\n",
    "<img src=\"img/sines.png\" width=\"20%\"><img src=\"img/cpu.png\" width=\"10%\">\n",
    "\n",
    "- Data streaming over network -> LAN/WLAN latencies"
   ]
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   "source": [
    "## 2. Recap: Lab Streaming Layer (LSL) as data streams aligning solution\n",
    "\n",
    "Why LSL?\n",
    "- Manually aligning data streams can be really time consuming\n",
    "- Standard tool in the science community: community support :)\n",
    "\n",
    "Also:\n",
    "- open source\n",
    "- cross platform (Win, Linux, MacOS, Android, iOS) and multi language APIs (C, C++, Python, Java, C#, MATLAB)\n",
    "- many GUI tools supporting standard technologies and devices\n",
    "- XDF data recordings (meant to be a standard format in science)\n",
    "\n",
    "Source: https://labstreaminglayer.readthedocs.io/info/intro.html#what-is-lsl"
   ]
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "How to use LSL? General requirements:\n",
    "- LabRecorder app: https://github.com/labstreaminglayer/App-LabRecorder/releases\n",
    "<img src=\"img/labrecorder.png\" width=\"50%\">\n",
    "- `liblsl` library (https://github.com/sccn/liblsl/releases/latest) with code defining your data streams\n",
    "\n",
    "    and/or"
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "How to use LSL? General requirements:\n",
    "\n",
    "    and/or\n",
    "\n",
    "- LSL community app (e.g. OpenVibe Data Acquisition Server: http://openvibe.inria.fr/downloads/)\n",
    "\n",
    "<img src=\"img/ovas.png\" width=\"50%\">"
   ]
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "\n",
    "Code example in C# defining a data stream:\n",
    "```csharp\n",
    "using LSL;\n",
    "public class yourClass\n",
    "{\n",
    "    // declare your data stream\n",
    "    private liblsl.StreamInfo lslStreamInfo; // stream information\n",
    "    private liblsl.StreamOutlet lslOutlet; // actual stream to send out\n",
    "    void startingMethod() { // normally Start() in Unity\n",
    "        // instantiate your stream\n",
    "        lslStreamInfo = new liblsl.StreamInfo(\n",
    "            sName, // name of your stream\n",
    "            sType, // stream type\n",
    "            nValues, // you send an array, so how many values it contains\n",
    "            nominalRate, // constant or not\n",
    "            LslChannelFormat, // if you send integers, floats, etc.\n",
    "            uuid); // universally unique identifier\n",
    "        lslOutlet = new liblsl.StreamOutlet(streamInfo);\n",
    "    }\n",
    "    void sendingMethod() { // normally FixedUpdate() in Unity\n",
    "        var data = new float[nValues]; // data you want to send\n",
    "        lslOutlet.push_sample(data); // send/stream your data\n",
    "    }\n",
    "}\n",
    "```\n",
    "More examples  https://labstreaminglayer.readthedocs.io/dev/examples.html\n",
    "\n",
    "API reference: https://labstreaminglayer.readthedocs.io/projects/liblsl/index.html"
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "Use case (our test setup):\n",
    "\n",
    "<img src=\"img/test_design.png\" width=\"40%\"><img src=\"img/setup.jpg\" width=\"40%\">"
   ]
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "Where to place `liblsl` on Unity:\n",
    "- `liblsl`library\n",
    "<img src=\"img/lsl_unity.png\" width=\"30%\">\n",
    "\n",
    "- `LSL.cs` class -> https://github.com/labstreaminglayer/liblsl-Csharp/blob/master/LSL.cs\n",
    "<img src=\"img/lsl_class.png\" width=\"30%\">"
   ]
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "How to make OpenVibe Acquisition Server (AVAS) work with `liblsl`:\n",
    "\n",
    "- `liblsl` library replacement\n",
    "\n",
    "<img src=\"img/openvibe_liblsl.png\" width=\"60%\">\n",
    "\n",
    "__Important:__ make sure you share the same `liblsl` version between the LabRecorder, Unity and your scripts and/or any community LSL app. You can always overwrite the shipped one if you're unsure."
   ]
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   "source": [
    "## 3. How to use LSL (Unity with EEG use case)\n",
    "How to make OpenVibe Acquisition Server (AVAS) work with `liblsl`:\n",
    "\n",
    "- LSL configuration file  library \"hack\"\n",
    "\n",
    "<img src=\"img/openvibe_lsl.png\" width=\"60%\">"
   ]
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   "source": [
    "## 4. Test design\n",
    "Background (2D vs 3D):\n",
    "\n",
    "\n",
    "<img src=\"img/background.gif\" width=\"20%\"> <img src=\"img/scene.png\" width=\"36%\">\n",
    "\n",
    "Unity 2D project used for testing: https://github.com/mvidaldp/lsl_in_unity"
   ]
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   "source": [
    "## 4. Test design\n",
    "Audio (old vs new):\n",
    "\n",
    "<img src=\"img/wave.png\" width=\"60%\">\n",
    "<img src=\"img/wave2.png\" width=\"60%\">\n",
    "\n",
    "Unity 2D project used for testing: https://github.com/mvidaldp/lsl_in_unity"
   ]
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   "source": [
    "## 5. Recap: How does the data look like?"
   ]
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={\"figure.figsize\": (14, 5)})  # set figure size\n",
    "sns.set_style(\"darkgrid\")  # set seaborn plotting style\n",
    "palette = itertools.cycle(sns.color_palette(palette=\"muted\"))\n",
    "\n",
    "f_n = -0.1  # starting point (s)\n",
    "s_n = 0.6  # ending point (s)\n",
    "\n",
    "start_e = 1024 * f_n  # eeg sampling rate = 1024\n",
    "start_u = 90 * f_n  # unity sampling rate = 90\n",
    "\n",
    "e_samples = 1024 * s_n  # N of eeg in 5 s\n",
    "u_samples = 90 * s_n  # N of unity in 5 s\n",
    "u_height = 3500  # factor to improve unity (true/1) values visualization\n",
    "\n",
    "file = recordings[0][\"file\"].split(\".\")[0]\n",
    "e = copy.deepcopy(recordings[0][\"eeg\"])\n",
    "u = copy.deepcopy(recordings[0][\"unity\"])\n",
    "e_t = e[\"timestamps\"]\n",
    "u_t = u[\"timestamps\"]\n",
    "e_a = e[\"audio\"]\n",
    "e_c = e[\"color\"]\n",
    "u_c = u[\"color\"]\n",
    "u_a = u[\"audio\"]\n",
    "\n",
    "# fix diff array sizes for unity color and audio arrays\n",
    "u_diff = len(u_c) - len(u_t)\n",
    "if u_diff > 0:\n",
    "    # remove the diff from the end of the array\n",
    "    u_c = u_c[:-u_diff]\n",
    "elif u_diff < 0:\n",
    "    # add the diff from the end of the array\n",
    "    for i in range(abs(u_diff)):\n",
    "        u_c = np.append(u_c, u_c[-1])\n",
    "\n",
    "# select range of timestamps, diode and microphone values (eeg)\n",
    "e_time_selection = e_t[(e_t > f_n) & (e_t < s_n)]\n",
    "e_color_selection = e_c[(e_t > f_n) & (e_t < s_n)]\n",
    "e_audio_selection = e_a[(e_t > f_n) & (e_t < s_n)]\n",
    "\n",
    "# select range of timestamps, color and audio values (unity)\n",
    "u_time_selection = u_t[(u_t > f_n) & (u_t < s_n)]\n",
    "u_color_selection = u_c[(u_t > f_n) & (u_t < s_n)]\n",
    "u_audio_selection = u_a[(u_t > f_n) & (u_t < s_n)]\n",
    "preview = [\n",
    "    [\"black/white\", u_time_selection, u_color_selection * u_height],\n",
    "    [\"playing or not\", u_time_selection, u_audio_selection * u_height],\n",
    "    [\"photodiode\", e_time_selection, e_color_selection * 0.05],\n",
    "    [\"microphone\", e_time_selection, e_audio_selection * 1.5],\n",
    "]\n",
    "\n",
    "# plot the selected range to compare eeg vs unity values\n",
    "nplots = 4  # number of subplots\n",
    "\n",
    "# define subplots\n",
    "fig, axes = plt.subplots(nrows=2, ncols=int(nplots / 2), figsize=(15, 10), sharey=True)\n",
    "\n",
    "axes[0, 0].plot(preview[2][1], preview[2][2], color=next(palette))\n",
    "axes[0, 0].set_title(preview[2][0])\n",
    "axes[0, 1].plot(preview[3][1], preview[3][2], color=next(palette))\n",
    "axes[0, 1].set_title(preview[3][0])\n",
    "axes[1, 0].plot(\n",
    "    preview[0][1],\n",
    "    preview[0][2],\n",
    "    marker=\"o\",\n",
    "    color=next(palette),\n",
    "    markerfacecolor=\"None\",\n",
    ")\n",
    "axes[1, 0].set_title(preview[0][0])\n",
    "axes[1, 1].plot(preview[1][1], preview[1][2], marker=\"x\", color=next(palette))\n",
    "axes[1, 1].set_title(preview[1][0])\n",
    "\n",
    "for ax in axes[1, :]:\n",
    "    ax.set_xlabel(\"Time (s)\")  # set x-axis label\n",
    "axes[0, 0].set_ylabel(\"EEG (sensor data)\")  # set y-axis label\n",
    "axes[1, 0].set_ylabel(\"Unity (markers)\")  # set y-axis label\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 5. Recap: How does the data look like?\n",
    "<img src=\"img/plot1.png\" width=\"70%\">\n",
    "\n",
    "_What do we look for exactly?_\n",
    "- __Image latency:__ time between unity color markers and the diode peaks\n",
    "- __Audio latency:__ time between unity audio playing markers and microphone peaks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 6. Results\n",
    "How constant are the framerates?\n",
    "\n",
    "__Unity (90FPS ~ 11.11ms vs 50FPS ~ 20ms )__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={\"figure.figsize\": (25, 10)})  # set figure size\n",
    "sns.set_style(\"darkgrid\")  # set seaborn plotting style\n",
    "g = sns.boxenplot(data=u_dist, palette=\"muted\")\n",
    "g.set_xticklabels(files)\n",
    "g.set_yticks(np.arange(0, g.get_ylim()[1], 0.001))\n",
    "plt.ticklabel_format(style=\"plain\", axis=\"y\", useOffset=False)\n",
    "plt.ylabel(\"Time (s)\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "How constant are the framerates?\n",
    "\n",
    "__Unity (90FPS ~ 11.11ms vs 50FPS ~ 20ms )__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "nplots = len(u_dist) * 2  # number of subplots\n",
    "palette = itertools.cycle(sns.color_palette(palette=\"muted\"))\n",
    "\n",
    "# define subplots\n",
    "fig = plt.figure(figsize=(25, 15))\n",
    "cols = 1\n",
    "gs = fig.add_gridspec(cols, nplots)\n",
    "\n",
    "y_max = 0\n",
    "# since sharey does not work in this context by adding subplots one by one\n",
    "for dist in u_dist:  # get the maximum y value to set the same scale on subplots\n",
    "    if max(dist) > y_max:\n",
    "        y_max = max(dist)\n",
    "\n",
    "step = 0.001\n",
    "ticks = np.arange(0, y_max + step, step)\n",
    "kde = {\"shade\": True}\n",
    "j = 0\n",
    "for i in range(nplots):\n",
    "    style = \"darkgrid\" if i % 2 == 0 else \"white\"\n",
    "    with sns.axes_style(style):\n",
    "        ax = fig.add_subplot(gs[i])\n",
    "        if i % 2 == 0:\n",
    "            color = next(palette)\n",
    "            sns.stripplot(x=u_dist[j], ax=ax, orient=\"v\", color=color)\n",
    "            ax.set_xticklabels([files[j]])  # filename\n",
    "            ax.set_ylim(0, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "        else:\n",
    "            sns.distplot(\n",
    "                u_dist[j],\n",
    "                ax=ax,\n",
    "                vertical=True,\n",
    "                norm_hist=True,\n",
    "                bins=250,\n",
    "                kde_kws=kde,\n",
    "                color=color,\n",
    "            )\n",
    "            ax.set_ylim(0, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "            ax.set_xticklabels([])\n",
    "            sns.despine(left=True, bottom=True)\n",
    "            j += 1\n",
    "        if i != 0:\n",
    "            ax.set_yticklabels([])\n",
    "\n",
    "\n",
    "plt.subplots_adjust(wspace=0.05)\n",
    "\n",
    "fig.axes[0].set_ylabel(\"Time (s)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "__How to enforce 90FPS instead of 50FPS (default) in Unity?__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<img src=\"img/unity_time.png\" width=\"50%\">\n",
    "\n",
    "__Important:__ Although this parameter works, it makes Unity more prone to skip frames. Also, on the Unity Editor Player we could not run Westdrive on a `NVIDIA RTX 2080Ti`!\n",
    "However, it worked on the build :)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "Latencies\n",
    "\n",
    "__Time distance between unity color markers and the diode peaks__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col6,#T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col6{\n",
       "            color:  blue;\n",
       "        }</style><table id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >bw_tc_L1</th>        <th class=\"col_heading level0 col1\" >bw_tc_r</th>        <th class=\"col_heading level0 col2\" >wd_90hz_1</th>        <th class=\"col_heading level0 col3\" >wd_90hz_2</th>        <th class=\"col_heading level0 col4\" >wd_90hz_3</th>        <th class=\"col_heading level0 col5\" >wd_90hz_4</th>        <th class=\"col_heading level0 col6\" >AVG</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col0\" class=\"data row0 col0\" >7706.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col1\" class=\"data row0 col1\" >856.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col2\" class=\"data row0 col2\" >1218.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col3\" class=\"data row0 col3\" >2407.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col4\" class=\"data row0 col4\" >2385.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col5\" class=\"data row0 col5\" >2414.000000</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row0_col6\" class=\"data row0 col6\" >2831.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col0\" class=\"data row1 col0\" >0.075361</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col1\" class=\"data row1 col1\" >0.085203</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col2\" class=\"data row1 col2\" >0.083596</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col3\" class=\"data row1 col3\" >0.083538</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col4\" class=\"data row1 col4\" >0.083470</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col5\" class=\"data row1 col5\" >0.083755</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row1_col6\" class=\"data row1 col6\" >0.082487</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col0\" class=\"data row2 col0\" >0.000301</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col1\" class=\"data row2 col1\" >0.000601</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col2\" class=\"data row2 col2\" >0.000715</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col3\" class=\"data row2 col3\" >0.000785</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col4\" class=\"data row2 col4\" >0.000491</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col5\" class=\"data row2 col5\" >0.000703</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row2_col6\" class=\"data row2 col6\" >0.000599</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col0\" class=\"data row3 col0\" >0.074084</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col1\" class=\"data row3 col1\" >0.084378</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col2\" class=\"data row3 col2\" >0.081619</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col3\" class=\"data row3 col3\" >0.078895</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col4\" class=\"data row3 col4\" >0.081069</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col5\" class=\"data row3 col5\" >0.080676</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row3_col6\" class=\"data row3 col6\" >0.080120</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col0\" class=\"data row4 col0\" >0.075118</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col1\" class=\"data row4 col1\" >0.084939</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col2\" class=\"data row4 col2\" >0.083269</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col3\" class=\"data row4 col3\" >0.083209</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col4\" class=\"data row4 col4\" >0.083205</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col5\" class=\"data row4 col5\" >0.083406</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row4_col6\" class=\"data row4 col6\" >0.082191</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col0\" class=\"data row5 col0\" >0.075364</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col1\" class=\"data row5 col1\" >0.085185</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col2\" class=\"data row5 col2\" >0.083534</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col3\" class=\"data row5 col3\" >0.083479</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col4\" class=\"data row5 col4\" >0.083460</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col5\" class=\"data row5 col5\" >0.083697</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row5_col6\" class=\"data row5 col6\" >0.082453</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col0\" class=\"data row6 col0\" >0.075610</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col1\" class=\"data row6 col1\" >0.085423</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col2\" class=\"data row6 col2\" >0.083796</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col3\" class=\"data row6 col3\" >0.083741</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col4\" class=\"data row6 col4\" >0.083716</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col5\" class=\"data row6 col5\" >0.083968</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row6_col6\" class=\"data row6 col6\" >0.082709</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col0\" class=\"data row7 col0\" >0.075989</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col1\" class=\"data row7 col1\" >0.096419</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col2\" class=\"data row7 col2\" >0.093438</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col3\" class=\"data row7 col3\" >0.094801</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col4\" class=\"data row7 col4\" >0.094282</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col5\" class=\"data row7 col5\" >0.095103</td>\n",
       "                        <td id=\"T_f78fd2ea_dbe3_11ea_b7e3_3cf011b819d8row7_col6\" class=\"data row7 col6\" >0.091672</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7ff0542b1c40>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(c_stats.style.applymap(color_checks, subset=[\"AVG\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "Latencies\n",
    "\n",
    "__Time distance between unity color markers and the diode peaks__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "nplots = len(c_diff_all) * 2  # number of subplots\n",
    "palette = itertools.cycle(sns.color_palette(palette=\"muted\"))\n",
    "\n",
    "# define subplots\n",
    "fig = plt.figure(figsize=(25, 15))\n",
    "cols = 1\n",
    "gs = fig.add_gridspec(cols, nplots)\n",
    "\n",
    "y_min = 0.07\n",
    "y_max = 0.1\n",
    "# since sharey does not work in this context by adding subplots one by one\n",
    "# for dist in c_diff_all:  # get the maximum y value to set the same scale on subplots\n",
    "#     if max(dist) > y_max:\n",
    "#         y_max = max(dist)\n",
    "#     if min(dist) < y_min:\n",
    "#         y_min = min(dist)\n",
    "\n",
    "step = 0.001\n",
    "ticks = np.arange(y_min, y_max, step)\n",
    "\n",
    "kde = {\"shade\": True}\n",
    "j = 0\n",
    "for i in range(nplots):\n",
    "    style = \"darkgrid\" if i % 2 == 0 else \"white\"\n",
    "    with sns.axes_style(style):\n",
    "        ax = fig.add_subplot(gs[i])\n",
    "        if i % 2 == 0:\n",
    "            color = next(palette)\n",
    "            sns.stripplot(x=c_diff_all[j], ax=ax, orient=\"v\", color=color)\n",
    "            ax.set_xticklabels([files[j]])  # filename\n",
    "            ax.set_ylim(y_min, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "            ax.yaxis.set_major_formatter(FormatStrFormatter(\"%.3f\"))\n",
    "        else:\n",
    "            sns.distplot(\n",
    "                c_diff_all[j],\n",
    "                ax=ax,\n",
    "                vertical=True,\n",
    "                norm_hist=True,\n",
    "                bins=250,\n",
    "                kde_kws=kde,\n",
    "                color=color,\n",
    "            )\n",
    "            ax.set_ylim(y_min, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "            ax.set_xticklabels([])\n",
    "            sns.despine(left=True, bottom=True)\n",
    "            j += 1\n",
    "        if i != 0:\n",
    "            ax.set_yticklabels([])\n",
    "\n",
    "\n",
    "plt.subplots_adjust(wspace=0.05)\n",
    "\n",
    "fig.axes[0].set_ylabel(\"Time (s)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "Latencies\n",
    "\n",
    "__Time distance between unity audio playing markers and microphone peaks__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col6,#T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col6{\n",
       "            color:  blue;\n",
       "        }</style><table id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >bw_tc_L1</th>        <th class=\"col_heading level0 col1\" >bw_tc_r</th>        <th class=\"col_heading level0 col2\" >wd_90hz_1</th>        <th class=\"col_heading level0 col3\" >wd_90hz_2</th>        <th class=\"col_heading level0 col4\" >wd_90hz_3</th>        <th class=\"col_heading level0 col5\" >wd_90hz_4</th>        <th class=\"col_heading level0 col6\" >AVG</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col0\" class=\"data row0 col0\" >7744.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col1\" class=\"data row0 col1\" >860.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col2\" class=\"data row0 col2\" >1185.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col3\" class=\"data row0 col3\" >2416.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col4\" class=\"data row0 col4\" >2395.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col5\" class=\"data row0 col5\" >2423.000000</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row0_col6\" class=\"data row0 col6\" >2837.166667</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col0\" class=\"data row1 col0\" >0.141957</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col1\" class=\"data row1 col1\" >0.151279</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col2\" class=\"data row1 col2\" >0.188110</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col3\" class=\"data row1 col3\" >0.134765</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col4\" class=\"data row1 col4\" >0.135461</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col5\" class=\"data row1 col5\" >0.135430</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row1_col6\" class=\"data row1 col6\" >0.147833</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col0\" class=\"data row2 col0\" >0.005408</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col1\" class=\"data row2 col1\" >0.003756</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col2\" class=\"data row2 col2\" >0.006367</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col3\" class=\"data row2 col3\" >0.003473</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col4\" class=\"data row2 col4\" >0.005617</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col5\" class=\"data row2 col5\" >0.003710</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row2_col6\" class=\"data row2 col6\" >0.004722</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col0\" class=\"data row3 col0\" >0.125079</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col1\" class=\"data row3 col1\" >0.140721</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col2\" class=\"data row3 col2\" >0.174040</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col3\" class=\"data row3 col3\" >0.106402</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col4\" class=\"data row3 col4\" >0.112354</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col5\" class=\"data row3 col5\" >0.101700</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row3_col6\" class=\"data row3 col6\" >0.126716</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col0\" class=\"data row4 col0\" >0.138423</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col1\" class=\"data row4 col1\" >0.148477</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col2\" class=\"data row4 col2\" >0.183037</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col3\" class=\"data row4 col3\" >0.132218</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col4\" class=\"data row4 col4\" >0.131132</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col5\" class=\"data row4 col5\" >0.132934</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row4_col6\" class=\"data row4 col6\" >0.144370</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col0\" class=\"data row5 col0\" >0.141960</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col1\" class=\"data row5 col1\" >0.151101</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col2\" class=\"data row5 col2\" >0.188238</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col3\" class=\"data row5 col3\" >0.134754</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col4\" class=\"data row5 col4\" >0.134877</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col5\" class=\"data row5 col5\" >0.135556</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row5_col6\" class=\"data row5 col6\" >0.147748</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col0\" class=\"data row6 col0\" >0.145502</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col1\" class=\"data row6 col1\" >0.153893</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col2\" class=\"data row6 col2\" >0.193318</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col3\" class=\"data row6 col3\" >0.137348</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col4\" class=\"data row6 col4\" >0.139080</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col5\" class=\"data row6 col5\" >0.138031</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row6_col6\" class=\"data row6 col6\" >0.151196</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col0\" class=\"data row7 col0\" >0.197155</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col1\" class=\"data row7 col1\" >0.162342</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col2\" class=\"data row7 col2\" >0.199990</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col3\" class=\"data row7 col3\" >0.143965</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col4\" class=\"data row7 col4\" >0.162306</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col5\" class=\"data row7 col5\" >0.144170</td>\n",
       "                        <td id=\"T_6dcb7a28_dbed_11ea_b7e3_3cf011b819d8row7_col6\" class=\"data row7 col6\" >0.168321</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7ff053a734f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(a_stats.style.applymap(color_checks, subset=[\"AVG\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 6. Results\n",
    "Latencies\n",
    "\n",
    "__Time distance between unity audio playing markers and microphone peaks__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "to_remove"
    ]
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "nplots = len(a_diff_all) * 2  # number of subplots\n",
    "palette = itertools.cycle(sns.color_palette(palette=\"muted\"))\n",
    "\n",
    "# define subplots\n",
    "fig = plt.figure(figsize=(25, 15))\n",
    "cols = 1\n",
    "gs = fig.add_gridspec(cols, nplots)\n",
    "\n",
    "columns = list(a_stats.columns)\n",
    "del columns[-1]\n",
    "\n",
    "y_max = 0.21\n",
    "y_min = 0.1\n",
    "# since sharey does not work in this context by adding subplots one by one\n",
    "# for dist in a_diff_all:  # get the maximum y value to set the same scale on subplots\n",
    "#     if max(dist) > y_max:\n",
    "#         y_max = max(dist)\n",
    "#     if min(dist) < y_min:\n",
    "#         y_min = min(dist)\n",
    "step = 0.005\n",
    "ticks = np.arange(y_min, y_max + step, step)\n",
    "kde = {\"shade\": True}\n",
    "j = 0\n",
    "for i in range(nplots):\n",
    "    style = \"darkgrid\" if i % 2 == 0 else \"white\"\n",
    "    with sns.axes_style(style):\n",
    "        ax = fig.add_subplot(gs[i])\n",
    "        if i % 2 == 0:\n",
    "            color = next(palette)\n",
    "            sns.stripplot(x=a_diff_all[j], ax=ax, orient=\"v\", color=color)\n",
    "            ax.set_xticklabels([columns[j]])  # filename\n",
    "            ax.set_ylim(y_min, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "            ax.yaxis.set_major_formatter(FormatStrFormatter(\"%.3f\"))\n",
    "        else:\n",
    "            sns.distplot(\n",
    "                a_diff_all[j],\n",
    "                ax=ax,\n",
    "                vertical=True,\n",
    "                norm_hist=True,\n",
    "                bins=200,\n",
    "                kde_kws=kde,\n",
    "                color=color,\n",
    "            )\n",
    "            ax.set_ylim(y_min, y_max)\n",
    "            ax.set_yticks(ticks)\n",
    "            ax.set_xticklabels([])\n",
    "            sns.despine(left=True, bottom=True)\n",
    "            j += 1\n",
    "        if i != 0:\n",
    "            ax.set_yticklabels([])\n",
    "\n",
    "plt.subplots_adjust(wspace=0.05)\n",
    "fig.axes[0].set_ylabel(\"Time (s)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 7. Conclusions and remarks\n",
    "- Unity skips 1-2% of the triggers (frames) when enforcing it to 90FPS instead of the 50FPS (default)\n",
    "- A better CPU on the recorder computer seems to contribute on a more precise aligning of streams\n",
    "- Same goes for a better GPU to keep the framerate as constant as possible\n",
    "- Latency for video looks pretty constant ~75ms and std of 0.4ms (2D old recordings), ~83ms and std of 0.4-0.7ms (2D and 3D new recordings)\n",
    "- We assume this latency is project and device dependant. So, test your project to compute your latency!\n",
    "- Latency for audio ~135ms or higher (std of 3ms-6ms), also project dependant\n",
    "- Best latency for audio parameter seems to reduce it and also to reduce variance, but still far from usable for EEG (min-max diff > 10ms)\n",
    "- __Using LSL for recording Unity and EEG data looks reliable for image stimuli__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 8. Future outlook\n",
    "\n",
    "- New recordings and data analysis using a our Westdrive scenes with the moving camera\n",
    "- Redo the recordings in a sound isolated room to see if the audio latency detection improves\n",
    "- Try a new audio engine if there is any that could help getting better results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Resources\n",
    "\n",
    "- [Liblsl](https://github.com/sccn/liblsl/releases/latest)\n",
    "- [LabRecorder](https://github.com/labstreaminglayer/App-LabRecorder/releases)\n",
    "- [LSL4Unity](https://github.com/labstreaminglayer/LSL4Unity)\n",
    "- [liblsl-Csharp](https://github.com/labstreaminglayer/liblsl-Csharp)\n",
    "- [LSL Apps](https://github.com/sccn/labstreaminglayer/tree/master/Apps)\n",
    "- [LSL documentation reference](https://labstreaminglayer.readthedocs.io/)\n",
    "- [LSL latency analysis](https://github.com/mvidaldp/lsl_latency_analysis)\n",
    "- [LSL in Unity](https://github.com/mvidaldp/lsl_in_unity)\n",
    "- [How to install and use LSL tutorial](https://docs.google.com/document/d/1NCLiLwMQpt9QKIw7sOM4N62vdDu3Nyw78928Jpz5VIU/edit?usp=sharing)\n",
    "- [OpenVibe](http://openvibe.inria.fr/downloads/)\n",
    "- [Audio tones generator](https://github.com/mvidaldp/pytonegen)\n"
   ]
  }
 ],
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