activity
20092026
most citedA Novel Feature Extraction for Robust EMG Pattern Recognition

357 citations · 560 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

First International StepUP Competition for Biometric Footstep Recognition: Methods, Results and Remaining Challenges

Robyn Larracy, Eve MacDonald, Angkoon Phinyomark +5

Biometric footstep recognition, based on a person's unique pressure patterns under their feet during walking, is an emerging field with growing applications in security and safety.…

cs.CV2025★ 4 cited

A dataset of high-resolution plantar pressures for gait analysis across varying footwear and walking speeds

Robyn Larracy, Angkoon Phinyomark, Ala Salehi +5

Gait refers to the patterns of limb movement generated during walking, which are unique to each individual due to both physical and behavioral traits. Walking patterns have been wi…

eess.SP2020★ 10 cited

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…

eess.SP2020★ 3 cited

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…

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…