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Exploring the addition of audio input to wearable punch recognition

Ovalle, Juan Quintero, Stawarz, Katarzyna ORCID: 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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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

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