Title:
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Basketball activity recognition using wearable inertial measurement units
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Author:
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Nguyen, Le Nguyen Ngu; Rodríguez Martín, Daniel Manuel; Català Mallofré, Andreu; Pérez López, Carlos; Samà Monsonís, Albert; Cavallaro, Andrea
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. CETpD -Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Àrees temàtiques de la UPC::Enginyeria biomèdica::Aparells mèdics::Biosensors -Wearable technology -Algorithms -Design -Experimentation -Human Factors
Wearable computing -Activity recognition -Sport |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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Association for Computing Machinery (ACM)
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