This repository aims at disseminating what could not be mentioned directly in my PhD thesis (Facilitating Inertial Sensors-based Biomechanical Analysis: En Route from the Laboratory to the Real-life).
In this repository you can find some of the procedures I used in my works in the form of codes. Most of the material here proposed is written in MATLAB synthax. It can supposedly be used through GNU Octave. However, some of the material is presented as either Jupyter Notebook or R code. The list is the following one:
- This portion of supplementary material relates to the creation of an anatomical coordinate system for the ankle joint complex. It was chosen to use a functional approach and stress for its repeatability and reliability during straight walking bouts.
- Published in A Functional Calibration Protocol for Ankle Plantar-Dorsiflexion Estimate using Magnetic and Inertial Measurement Units: Repeatability and Reliability Assessment, Journal of Biomechanics. doi: 10.1016/j.jbiomech.2022.111202
-
This portion of supplementary material relates to the identification of foot contacts in children with an idiopathic toe-walking pattern using a single foot-mounted IMU.
-
Published in Impact of Gait Events Identification through Wearable Inertial Sensors on Clinical Gait Analysis of Children with Idiopathic Toe Walking, Micromachines. doi: 10.3390/mi14020277
- This portion of the supplementary material relates to the determination of the importance of a feature into a dataset.
- Published in Machine learning aided jump height estimate democratization through smartphone measures, Frontiers in Sports and Active Living. doi: 10.3389/fspor.2023.1112739
- This portion of supplementary material is supposed to help understanding how to properly realize the Bland-Altman Plots.
- Published in Machine learning aided jump height estimate democratization through smartphone measures, Frontiers in Sports and Active Living. doi: 10.3389/fspor.2023.1112739
Example data are provided in the data folder.
All the data comes from real experiments and are supposed to be used for demonstration only. All data are provided as .csv files, with dot-separated decimals.
Each filename prefix refers to the project it shares the acronym with (e.g., FAN_FC.csv refers to the project involving functional calibration).
The codes related to other bigger portions of the thesis are left to other different repositories, since they had to be made available for publishing purposes. Also in this case, coding is written either using MATLAB, Python (Jupyter Notebook), or R. In particular:
- Smartphone Height Democratization is available at height-democratization
- Mechanical Power Estimation is available at Jump-Power-ML-IMU
- MIMUs Offline Calibration: MIMU-calib-tutorial