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Basketball activity recognition using wearable inertial measurement units

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10.1145/2829875.2829930
 
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hdl:2117/83712

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Nguyen, Le Nguyen Ngu
Rodríguez Martín, Daniel ManuelMés informacióMés informació
Català Mallofré, AndreuMés informacióMés informacióMés informació
Pérez López, CarlosMés informació
Samà Monsonís, AlbertMés informacióMés informació
Cavallaro, Andrea
Document typeConference report
Defense date2015
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The analysis and evaluation of human movement is a growing research area within the field of sports monitoring. This analysis can help support the enhancement of an athlete's performance, the prediction of injuries or the optimization of training programs. Although camera-based techniques are often used to evaluate human movements, not all movements of interest can be analyzed or distinguished effectively with computer vision only. Wearable inertial systems are a promising technology to address this limitation. This paper presents a new wearable sensing system to record human movements for sports monitoring. A new paradigm is presented with the purpose of monitoring basketball players with multiple inertial measurement units. A data collection plan has been designed and implemented, and experimental results show the potential of the system in basketball activity recognition.
CitationNguyen, L., Rodriguez-Martin, D., Catala, A., Perez, C., Sama, A., Cavallaro, A. Basketball activity recognition using wearable inertial measurement units. A: International Conference on Human Computer Interaction. "Proceedings of the XVI International Conference on Human Computer Interaction: Interacción 2015: 7-9 September, Vilanova i la Geltrú, Barcelona, Spain". Vilanova i la Geltrú, Barcelona: Association for Computing Machinery (ACM), 2015, p. 1-7. 
URIhttp://hdl.handle.net/2117/83712
DOI10.1145/2829875.2829930
ISBN978-1-4503-3463-1
Publisher versionhttp://dl.acm.org/citation.cfm?id=2829930
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