Author:
Tam S.,Boukadoum M.,Campeau-Lecours A.,Gosselin B.
Cited by
7 articles.
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1. Machine Learning for Prosthesis Motion Intent Classification Using Multiple Non-invasive Sensing Modalities;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19
2. The Use of Invasive and Non-Invasive Electrodes in Novel Technology of Upper Limb Prostheses: A Current Review;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26
3. Machine Learning based Classification of Upper Arm Movements using sEMG Signal;2023 4th International Conference for Emerging Technology (INCET);2023-05-26
4. Accurate and Robust Locomotion Mode Recognition Using High-Density EMG Recordings from a Single Muscle Group;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11
5. A Fully Integrated On-Skin RFID EMG Sensor;Lecture Notes in Electrical Engineering;2022-06-29