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.
|Titolo:||Fall identification in rock climbing using wearable device|
|Data di pubblicazione:||2015|
|Digital Object Identifier (DOI):||10.1177/1754337115592749|
|Appare nelle tipologie:||1.1 Articolo in rivista|