no code implementations • 17 Apr 2024 • Simon Tam, Shriram Tallam Puranam Raghu, Étienne Buteau, Erik Scheme, Mounir Boukadoum, Alexandre Campeau-Lecours, Benoit Gosselin
We show our approach's efficacy by testing the trained SDCNN's predictions and confidence estimations on unseen data, both in and out of the training domain.
no code implementations • 15 Feb 2024 • Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme
While myoelectric control has recently become a focus of increased research as a possible flexible hands-free input modality, current control approaches are prone to inadvertent false activations in real-world conditions.
no code implementations • 21 Dec 2019 • Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette, Benoit Gosselin
Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines.
1 code implementation • 16 Dec 2019 • Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette, Benoit Gosselin
The ability of the dynamic dataset to serve as a benchmark is leveraged to evaluate the impact of different recalibration techniques for long-term (across-day) gesture recognition, including a novel algorithm, named TADANN.
1 code implementation • 30 Nov 2019 • Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin, Erik Scheme
Using ADANN-generated features, the main contribution of this work is to provide the first topological data analysis of EMG-based gesture recognition for the characterisation of the information encoded within a deep network, using handcrafted features as landmarks.