Title :
What Does Your Chair Know About Your Stress Level?
Author :
Arnrich, Bert ; Setz, Cornelia ; La Marca, Roberto ; Troster, G. ; Ehlert, Ulrike
Author_Institution :
Wearable Comput. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fDate :
3/1/2010 12:00:00 AM
Abstract :
The inferred cost of work-related stress call for early prevention strategies. In this, we see a new opportunity for affective and pervasive computing by detecting early warning signs. This paper goes one step toward this goal. A collective of 33 subjects underwent a laboratory stress intervention, while a set of physiological signals was collected. In this paper, we investigate whether affective information related to stress can be found in the posture channel during office work. Following more recent work in this field, we directly associate features that are derived from the pressure distribution on a chair with affective states. We found that nervous subjects reveal higher variance of movements under stress. Furthermore, we show that a person-independent discrimination of stress from cognitive load is feasible when using pressure data only. A supervised variant of a self-organizing map, which is able to adapt to different patterns of stress responses, reaches an overall accuracy of 73.75% with unknown subjects.
Keywords :
biomechanics; biomedical measurement; ergonomics; pressure sensors; statistical analysis; chair; cognitive load; laboratory stress intervention; movements; person-independent discrimination; pervasive computing; physiological signals; posture channel; pressure distribution; pressure sensing; self-organizing map; stress level; work-related stress; Body pressure distribution; cognitive load; self-organizing maps; stress; Analysis of Variance; Brain; Cognition; Humans; Interior Design and Furnishings; Magnetic Resonance Imaging; Models, Biological; Neural Networks (Computer); Positron-Emission Tomography; Posture; Pressure; Signal Processing, Computer-Assisted; Stress, Physiological; Workplace;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2009.2035498