ClimbSense
Author:
Affiliation:
1. German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
2. German Research Center for Artificial Intelligence (DFKI) & Lancaster University, Saarbrücken, Germany
Funder
Deutsche Forschungsgemeinschaft (DFG)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2702123.2702311
Reference22 articles.
1. Static pose reconstruction with an instrumented bouldering wall
2. Sharing real-time biometric data across social networks
3. BouldAR
4. Inertial sensor for objective evaluation of swimmer performance
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1. Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary Investigation;Sensors;2024-07-15
2. Smart Belay Device for Sport Climbing—An Analysis about Falling;ITISE 2024;2024-07-09
3. Climbing Technique Evaluation by Means of Skeleton Video Stream Analysis;Sensors;2023-10-01
4. A Case Study on the Design and Use of an Annotation and Analytical Tool Tailored To Lead Climbing;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
5. Map and Content-Based Climbing Recommender System;Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization;2022-07-04
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