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

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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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:	Number Type 10.1007/978-3-030-73103-8_65 DOI 1640795 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Borcherds
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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