Smart Belay Device for Sport Climbing—An Analysis about Falling
Author:
Affiliation:
1. Research Group Biomechatronics, Ulm University of Applied Sciences, 89081 Ulm, Germany
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/68/1/29/pdf
Reference7 articles.
1. Automatic Sensor-Based Detection and Classification of Climbing Activities;Boulanger;IEEE Sens. J.,2016
2. Kosmalla, F., Daiber, F., and Krüger, A. (2015, January 18–23). ClimbSense: Automatic Climbing Route Recognition Using Wrist-Worn Inertia Measurement Units. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, Seoul, Republic of Korea.
3. Ladha, C., Hammerla, N.Y., Olivier, P., and Plötz, T. (2013, January 8–12). ClimbAX: Skill Assessment for Climbing Enthusiasts. Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ’13, Zurich, Switzerland.
4. Kramberger, I., Filipčič, A., Germič, A., and Kos, M. (2022). Real-Life Application of a Wearable Device towards Injury Prevention in Tennis: A Single-Case Study. Sensors, 22.
5. Data monitoring and sports injury prediction model based on embedded system and machine learning algorithm;Huang;Microprocess. Microsystems,2021
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