Moufawad El Achkar, C. et al. 2013, 7th International Conference on Pervasive Health Technologies for Healthcare. p.256-259. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6563936&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6563936 We propose a new minimal wearable system and a classifier for physical activity recognition. The configuration is solely based on two force sensors placed anteriorly and posteriorly under the feet. To find the optimal sensor configuration, we […]
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Development of a standard fall data format for signals from body-worn sensors: the FARSEEING consensus
Published in Z. Gerontolo. Geriatri. 2013, 46(8): 720-726 by Klenk, J. et al. http://www.ncbi.nlm.nih.gov/pubmed/24271252 Objective measurement of real-world fall events by using body-worn sensor devices can improve the understanding of falls in older people and enable new technology to prevent, predict, and automatically recognize falls. However, these events are rare and hence challenging to capture. […]
