Climbing activity recognition and measurement with sensor data analysis

Ivanova, I., Andric, M., Janes, A., Ricci, F. and Zini, F. 2020. Climbing activity recognition and measurement with sensor data analysis. 2020 International Conference on Multimodal Interaction. Virtual Event, Netherlands 25 - 29 Oct 2020 ACM. https://doi.org/10.1145/3395035.3425303

TitleClimbing activity recognition and measurement with sensor data analysis
AuthorsIvanova, I., Andric, M., Janes, A., Ricci, F. and Zini, F.
TypeConference paper
Abstract

The automatic detection of climbers activities can be the basis of software systems able to support trainers to assess the climbers performance and to define more effective training programs. We propose an initial building block of such a system, for the unobtrusive identification of the activity of someone pulling a rope after finishing the ascent. We use a novel type of quickdraw, augmented with a tri-axial accelerometer sensor. The acceleration data generated by the quickdraw during the climbs are used by a Machine Learning classifier for detecting the rope pulling activity. The obtained results show that this activity can be detected automatically with high accuracy, particularly by a Random Forest classifier. Moreover, we show that data acquired by the quickdraw sensor, as well as the detected rope pulling, can also be used to benchmark climbers.

Year2020
Conference2020 International Conference on Multimodal Interaction
PublisherACM
Publication dates
Published27 Dec 2020
Journal citationpp. 245-249
Book titleICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction
Digital Object Identifier (DOI)https://doi.org/10.1145/3395035.3425303
Web address (URL)https://cris.fbk.eu/handle/11582/358597

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