Abstract
Fatigue is considered a key factor to accidents and illnesses in our daily life. Detecting fatigue is therefore useful to prevent accidents and keep our body healthy. It is useful to the people who usually sit many hours a day performing office jobs, it can remind people to have a rest and do some exercises, so to help them developing good working habits.
In this paper, we propose a non-invasive way to monitor people’s activity. By applying Activity Recognition using Body Sensor Network technologies, we made a smart cushion to monitor people’s activities; we acquire pressure data and analyze it in MATLAB to infer whether a subject is suffering fatigue. With the proposed method, we learnt that subjects are getting tired after about an hour only. Experimental results show that pressure data for left-right orientation can clearly judge whether a sitting subject is suffering fatigue.
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Ma, C., Li, W., Cao, J., Wang, S., Wu, L. (2014). A Fatigue Detect System Based on Activity Recognition. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds) Internet and Distributed Computing Systems. IDCS 2014. Lecture Notes in Computer Science, vol 8729. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_26
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DOI: https://doi.org/10.1007/978-3-319-11692-1_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11691-4
Online ISBN: 978-3-319-11692-1
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