XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification

2022 ◽  
pp. 108053
Author(s):  
Noemi Gozzi ◽  
Lorenzo Malandri ◽  
Fabio Mercorio ◽  
Alessandra Pedrocchi
Keyword(s):  
Hand Gesture ◽  
Gesture Classification

Learned Hand Gesture Classification Through Synthetically Generated Training Samples

2018 ◽  
Author(s):  
Kyle Lindgren ◽  
Niveditha Kalavakonda ◽  
David E. Caballero ◽  
Kevin Huang ◽  
Blake Hannaford
Keyword(s):  
Hand Gesture ◽  
Training Samples ◽  
Gesture Classification

scholarly journals Simultaneous Hand Gesture Classification and Finger Angle Estimation via a Novel Dual-Output Deep Learning Model

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2972
Author(s):  
Qinghua Gao ◽  
Shuo Jiang ◽  
Peter B. Shull
Keyword(s):  
Deep Learning ◽  
Human Computer Interaction ◽  
Data Augmentation ◽  
Experimental Testing ◽  
Learning Model ◽  
Hand Gesture ◽  
Angle Estimation ◽  
Gesture Classification ◽  
Deep Learning Model ◽  
Computer Interaction

Hand gesture classification and finger angle estimation are both critical for intuitive human–computer interaction. However, most approaches study them in isolation. We thus propose a dual-output deep learning model to enable simultaneous hand gesture classification and finger angle estimation. Data augmentation and deep learning were used to detect spatial-temporal features via a wristband with ten modified barometric sensors. Ten subjects performed experimental testing by flexing/extending each finger at the metacarpophalangeal joint while the proposed model was used to classify each hand gesture and estimate continuous finger angles simultaneously. A data glove was worn to record ground-truth finger angles. Overall hand gesture classification accuracy was 97.5% and finger angle estimation R 2 was 0.922, both of which were significantly higher than shallow existing learning approaches used in isolation. The proposed method could be used in applications related to the human–computer interaction and in control environments with both discrete and continuous variables.

EMG hand gesture classification using handcrafted and deep features

2021 ◽  
Vol 63 ◽  
pp. 102210 ◽  
Author(s):  
Jose Manuel Fajardo ◽  
Orlando Gomez ◽  
Flavio Prieto
Keyword(s):  
Hand Gesture ◽  
Gesture Classification

Independent component analysis in multi-channel forearm surface electromyography processing on armband approach for hand gesture classification

2020 ◽  
Vol 36 (4) ◽  
pp. 439-448
Author(s):  
José Jair Alves Mendes Junior ◽  
Daniel Prado Campos ◽  
Thiago Simões Dias ◽  
Hugo Valadares Siqueira ◽  
Sergio Luiz Stevan Jr ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Surface Electromyography ◽  
Component Analysis ◽  
Independent Component ◽  
Hand Gesture ◽  
Gesture Classification

Discriminating features learning in hand gesture classification

2015 ◽  
Vol 9 (5) ◽  
pp. 673-680 ◽  
Author(s):  
Feng Jiang ◽  
Cuihua Wang ◽  
Yang Gao ◽  
Shen Wu ◽  
Debin Zhao
Keyword(s):  
Hand Gesture ◽  
Gesture Classification
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