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Exploring the Addition of Audio Input to Wearable Punch Recognition

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Juan Quintero Ovalle
  • Katarzyna Stawarz
  • Asier Marzo
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Human-Computer Interaction, INTERACCION 2019
Subtitle of host publicationXX International Conference on Human Computer Interaction
Publisher or commissioning bodyAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Electronic)9781450371766
ISBN (Print)978-1-4503-7176-6
DateAccepted/In press - 10 May 2019
DatePublished (current) - 25 Jun 2019
Event22nd International Conference on Human-Computer Interaction, INTERACCION 2019 - Donostia-San Sebastian, Spain
Duration: 25 Jun 201928 Jun 2019

Publication series

NameACM International Conference Proceeding Series


Conference22nd International Conference on Human-Computer Interaction, INTERACCION 2019
CityDonostia-San Sebastian


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.

    Research areas

  • martial arts, inertial sensors, machine learning, wearables, gesture recognition, punch recognition


22nd International Conference on Human-Computer Interaction, INTERACCION 2019

Duration25 Jun 201928 Jun 2019
CityDonostia-San Sebastian
SponsorsAsociacion para la Interaccion Persona - Ordenador (AIPO) (External organisation), CHISpa, Spanish chapter of ACM SIGCHI (External organisation), Eusko Jaurlaritza - Gobierno Vasco (External organisation), Fundacion ONCE (External organisation), Universidad del Pa�s Vasco - Euskal Herriko Unibertsitatea (External organisation)

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ACM at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.68 MB, PDF document


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