Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism

Author:

Rahimian Elahe1,Zabihi Soheil2,Asif Amir2,Farina Dario3,Atashzar S. Farokh4,Mohammadi Arash1

Affiliation:

1. Concordia University,Concordia Institute for Information System Engineering,Montreal,QC,Canada

2. Concordia University,Electrical and Computer Engineering,Montreal,QC,Canada

3. Imperial College London,Department of Bioengineering,London,UK

4. New York University,Electrical & Computer Engineering, Mechanical & Aerospace Engineering,USA

Publisher

IEEE

Reference28 articles.

1. Temporal Dilation of Deep LSTM for Agile Decoding of sEMG: Application in Prediction of Upper-Limb Motor Intention in NeuroRobotics

2. Gesture recognition by instantaneous surface EMG images

3. A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface;wei;Pattern Recognition Letters,2017

4. A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition

5. A Benchmark Database for Myoelectric Movement Classification;atzori;Transactions On Neural Systems And Rehabilitation Engineering,2013

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1. A Gesture Recognition System Based on Multi-Modal Physiological Signals;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Electromyographic hand gesture recognition using convolutional neural network with multi-attention;Biomedical Signal Processing and Control;2024-05

3. InRes-ACNet: Gesture Recognition Model of Multi-Scale Attention Mechanisms Based on Surface Electromyography Signals;Applied Sciences;2024-04-11

4. Hand Gesture Recognition: A Contemporary Overview of Techniques;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14

5. EMG-Based Intention Detection Using Deep Learning for Shared Control in Upper-Limb Assistive Exoskeletons;IEEE Robotics and Automation Letters;2024-01

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