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
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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 | ||||||
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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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