A Discomfort-Sensitive Chair for Pointing Out Mental Fatigue
In our busy daily life, we often have the feeling of being exhausted, accompanied with a sense of performance degradation and increase of discomfort in the execution of even simple tasks. This often takes place in the workplace and in a silent way, influencing our productivity, our performance the number of errors or the quality of our production. This paper details a chair to be used in workplace environments that is sensitive to the onset of fatigue. Based on built-in accelerometers it recognizes signs of discomfort, which may be related to mental fatigue, to point out moments when an individual should consider taking a pause or a rest. This chair complements a previously developed software for the assessment of mental fatigue from the analysis of the individual’s interaction with the computer.
KeywordsAmbient intelligence Fatigue Statistical analysis Clustering
This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst-OE/EEI/UI0752/2014.
- 8.A. Pimenta, D. Carneiro, P. Novais, J. Neves, Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns, in Hybrid Artificial Intelligent Systems (Springer, 2013), pp. 222–231Google Scholar
- 9.L.P. Perelli, Fatigue Stressors in Simulated Long-duration Flight. Effects on Performance, Information Processing, Subjective Fatigue, and Physiological Cost. Technical Report, DTIC Document (1980)Google Scholar
- 10.M. Charrad, N. Ghazzali, V. Boiteau, A. Niknafs, NbClust: an R package for determining the relevant number of clusters in a data set. J. Stat. Softw. 61(6), 1–36 (2014)Google Scholar