Search Results for author: Erik Scheme

Found 4 papers, 2 papers with code

On-Demand Myoelectric Control Using Wake Gestures to Eliminate False Activations During Activities of Daily Living

no code implementations15 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.

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

1 code implementation16 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.

EMG Gesture Recognition Gesture Recognition +1

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

1 code implementation30 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.

Feature Engineering Gesture Recognition +1

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