A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
IJCBS '09 Proceedings of the 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing
FM radio for indoor localization with spontaneous recalibration
Pervasive and Mobile Computing
Activity logging using lightweight classification techniques in mobile devices
Personal and Ubiquitous Computing
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The typical approach taken by clinical studies examining the factors that affect mood is to use questionnaires in order to record the activities that impact the mood. However, recording activities in this manner suffers from a number of issues including floor effect and difficulty in recalling past activities. Our work instead has focused on using unobtrusive monitoring technology to study mood changes during office hours and two associated factors that influence these changes, namely social activity and non-sedentary patterns. The pilot study ran over the course of 7 days of measurements with the participation of 9 knowledge workers. The results have shown that mood changes are highly correlated with both social interactions and non-sedentary work style. This study is the first to investigate the correlation between mood changes and nonsedentary behavior patterns, opening up a research avenue to explore psychological effects of increasing prevalence of sedentary behavior.