Revisiting echo state networks for continuous gesture recognition
Smartphones are equipped with Inertial Measurement Units (IMUs) that can capture user gesture data. Continuous gesture recognition is essential as it can be utilized and enhance human-computer interaction. Echo State Networks (ESNs) and Long Short-Term Memory (LSTM) models are well suited to perform...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
IEEE
2022
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Online Access: | http://eprints.um.edu.my/46303/ https://doi.org/10.1109/SSCI51031.2022.10022097 |
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Institution: | Universiti Malaya |
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