123 citations · 249 across the 9 of their papers we have counts for
4 papers · 1 filter
Analyzing the Impact of Class Transitions on the Design of Pattern Recognition-based Myoelectric Control Schemes
Shriram Tallam Puranam Raghu, Dawn T. MacIsaac, Erik J. Scheme
Despite continued efforts to improve classification accuracy, it has been reported that offline accuracy is a poor indicator of the usability of pattern recognition-based myoelectr…
A Comparison of Amputee and Able-Bodied Inter-Subject Variability in Myoelectric Control
Evan Campbell, Jason Chang, Angkoon Phinyomark +1
Despite decades of research and development of pattern recognition approaches, the clinical usability of myoelectriccontrolled prostheses is still limited. One of the main issues i…
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control
Evan Campbell, Angkoon Phinyomark, Erik Scheme
Recent human computer-interaction (HCI) studies using electromyography (EMG) and inertial measurement units (IMUs) for upper-limb gesture recognition have claimed that inertial mea…
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…