Dolopikos, C, Pritchard, M, Bird, JJ ORCID: https://orcid.org/0000-0002-9858-1231 and Faria, DR, 2021. Electromyography signal-based gesture recognition for human-machine interaction in real-time through model calibration. In: Arai, K, 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
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Official URL: https://doi.org/10.1007/978-3-030-73103-8_65
Item Type: | Chapter in book |
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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: | Number Type 10.1007/978-3-030-73103-8_65 DOI 1640795 Other |
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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