Electromyography signal-based gesture recognition for human-machine interaction in real-time through model calibration

Dolopikos, C., Pritchard, M., Bird, J.J. ORCID: 0000-0002-9858-1231 and Faria, D.R., 2021. Electromyography signal-based gesture recognition for human-machine interaction in real-time through model calibration. In: K. Arai, ed., Advances in information and communication: proceedings of the 2021 Future of Information and Communication Conference (FICC), volume 2. Cham: Springer, pp. 898-914. ISBN 9783030731021

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at Future of Information and Communication Conference 2021 (FICC 2021), Vancouver, Canada, 29-30 April 2021.
Creators: Dolopikos, C., Pritchard, M., Bird, J.J. and Faria, D.R.
Publisher: Springer
Place of Publication: Cham
Date: 16 April 2021
ISBN: 9783030731021
Identifiers:
NumberType
10.1007/978-3-030-73103-8_65DOI
1640795Other
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 31 Jan 2023 15:05
Last Modified: 31 Jan 2023 15:08
URI: https://irep.ntu.ac.uk/id/eprint/48133

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