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B. Gosselin

5 papers hereh-index 344.9k citations201 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.LG2
  • eess.SP1
same name
  • B. Gosselin — 9 papers, h 28
  • B. Gosselin — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedInterpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features

123 citations · 192 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.HC2019★ 63 cited

Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition

Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark +4

Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system's performance ov…

cs.LG2019

A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark +4

Within the field of electromyography-based (EMG) gesture recognition, disparities exist between the offline accuracy reported in the literature and the real-time usability of a cla…

eess.SP2019★ 123 cited

Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features

Ulysse Côté-Allard, Evan Campbell, Angkoon Phinyomark +3

The research in myoelectric control systems primarily focuses on extracting discriminative representations from the electromyographic (EMG) signal by designing handcrafted features…

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