Sensor Selection with Composite Features for Human-Prosthetic Interfaces (SS-CF)

<p dir="ltr">Matlab implementation of the sensor selection algorithm presented in paper: <a href="https://ieeexplore.ieee.org/document/10073539" rel="nofollow" target="_blank">T. Yu, A. Mohammadi, Y. Tan, P. Choong and D. Oetomo, "Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1732-1742, 2023, doi: 10.1109/TNSRE.2023.3258225</a></p><p dir="ltr"><b>Quick Start:</b></p><ul><li>Run <i>Main_SSCF.m</i> for an example.</li></ul><p dir="ltr"><b>Dataset:</b></p><ul><li>Dataset: dataset.mat contains one non-disabled subject performing forward reaching to spatial target points with their upper limb.</li><li>The goal is to select <i>q</i> sensors that can best differentiate the three elbow poses required by the spatial target points.</li><li>Upper limb and upper body joint kinematics and sEMG signals are recorded with features extracted.</li><li>The full dataset of 10 subjects is available at: <a href="https://doi.org/10.26188/23294693" rel="nofollow" target="_blank">https://doi.org/10.26188/23294693</a>.</li></ul><p dir="ltr"><b>Citation</b>:</p><ul><li>We would appreciate your acknowledgement by citing the paper:</li><li>@article{Yu2023,<br>author={Yu, Tianshi and Mohammadi, Alireza and Tan, Ying and Choong, Peter and Oetomo, Denny},journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering}, <br>title={Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces}, <br>year={2023},<br>volume={31},<br>pages={1732-1742},<br>doi={10.1109/TNSRE.2023.3258225}}</li></ul><p dir="ltr">For more details and updates please check: <a href="https://github.com/tianshi-yu/SS-CF_Sensor_Selection_with_Composite_Features" target="_blank">https://github.com/tianshi-yu/SS-CF_Sensor_Selection_with_Composite_Features</a></p>