Archivio Istituzionale della RicercaThe present paper discusses the use of a Kalman filter-based method to identify fall events during rock climbing activity. The proposed technique relies on the acquisition of three-axis acceleration and altitude by means of a data logger inte- grated within the climber’s sit harness. Time-domain results exhibit the working principle of the algorithm. Furthermore, the data provided by eight climbers is analysed and discussed to validate the method.
Fall identification in rock climbing using wearable device / Tonoli, Andrea; Galluzzi, Renato; Zenerino, ENRICO CESARE; Boero, Diego. - In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART P, JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY. - ISSN 1754-3371. - ELETTRONICO. - -:-(2016), pp. 1-9. [10.1177/1754337115592749]
Fall identification in rock climbing using wearable device
TONOLI, Andrea;GALLUZZI, RENATO;ZENERINO, ENRICO CESARE;BOERO, DIEGO
2016
Abstract
The present paper discusses the use of a Kalman filter-based method to identify fall events during rock climbing activity. The proposed technique relies on the acquisition of three-axis acceleration and altitude by means of a data logger inte- grated within the climber’s sit harness. Time-domain results exhibit the working principle of the algorithm. Furthermore, the data provided by eight climbers is analysed and discussed to validate the method.
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https://hdl.handle.net/11583/2625269
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