Exploring the addition of audio input to wearable punch recognition

Ovalle, Juan Quintero, Stawarz, Katarzyna ORCID: https://orcid.org/0000-0001-9021-0615 and Marzo, Asier 2019. Exploring the addition of audio input to wearable punch recognition. Presented at: Interacción 2019: XX International Conference on Human Computer Interaction, Donostia Gipuzkoa, Spain, Jun 2019. Proceedings of the XX International Conference on Human Computer Interaction. New York, US: ACM, 10.1145/3335595.3335641

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Abstract

Martial arts can promote healthy lifestyles, improve self-confidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and support self-directed training. However, many martial arts do not use gloves which means that punches can be performed with different parts of the hand, and therefore produce a different sound on impact. We investigate if it is possible to recognise different punches executed with a bare hand, and if the recognition rate improves by combining audio input with the traditional inertial sensors. We conducted a pilot study collecting a total of 600 punches, using a wearable wristband to capture inertial data and a stand-alone microphone for audio input. The results showed that it was possible to distinguish five types of punches with 94.4% accuracy when using only inertial data, and that adding audio input did not improve the accuracy. These findings can guide the design of future wearables for punch recognition.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	ACM
ISBN:	9781450371766
Date of First Compliant Deposit:	30 March 2020
Date of Acceptance:	17 April 2019
Last Modified:	07 Nov 2022 09:55
URI:	https://orca.cardiff.ac.uk/id/eprint/130625

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