In this contribution a system for seated posture identification is presented. The assessment tools is based on an office-chair equipped with sensors. In more details, a set of textile pressure sensors has been placed on a chair both on the chair backrest and on the seat. The position of the sensors has been selected for maximizing the possibility of sensing minimum variations of the subject's posture. To validate the system, an extensive subjective experiment has been performed in which the subject undergoes an increasing stress-level test. The collected results show that this instrument is effective in assessing the attention/fatigue of a subject in seating condition by the analysis of body posture.

Bibbo, D., Battisti, F., Conforto, S., Carli, M. (2018). A non-intrusive system for seated posture identification. In Proc. of IEEE 20th International Conference on e-Health Networking, Applications and Services.

A non-intrusive system for seated posture identification

Bibbo D
;
Battisti F;Conforto S;Carli M
2018-01-01

Abstract

In this contribution a system for seated posture identification is presented. The assessment tools is based on an office-chair equipped with sensors. In more details, a set of textile pressure sensors has been placed on a chair both on the chair backrest and on the seat. The position of the sensors has been selected for maximizing the possibility of sensing minimum variations of the subject's posture. To validate the system, an extensive subjective experiment has been performed in which the subject undergoes an increasing stress-level test. The collected results show that this instrument is effective in assessing the attention/fatigue of a subject in seating condition by the analysis of body posture.
2018
Bibbo, D., Battisti, F., Conforto, S., Carli, M. (2018). A non-intrusive system for seated posture identification. In Proc. of IEEE 20th International Conference on e-Health Networking, Applications and Services.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/347586
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