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Exploring the addition of audio input to wearable punch recognition

Ovalle, Juan Quintero, Stawarz, Katarzyna 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: 30 Mar 2020 15:03

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