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Yadid Ayzenberg · Javier Hernandez · Rosalind W. Picard

47 citations0/0 files storedCHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)

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Emotion and Mood Recognition Context-Aware Activity Recognition Systems Digital Mental Health Interventions

Abstract

This work proposes a system for the automatic annotation and monitoring of cell phone activity and stress responses of users. While mobile phone applications (e.g., e mail, voice, calendar) are used to non-intrusively extract the context of social interactions, a non-intrusive and comfortable biosensor is used to measure the electrodermal activity (EDA). Then, custom stress recognition software analyses the streams of data in real-time and associates stress levels to each event. Both contextual data and stress levels are aggregated in a searchable journal where the user can reflect on his/her physiological responses.

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References

2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device 1997Affective wearables 2011Call Center Stress Recognition with Person-Specific Models 2011PAM 2004A personal, mobile system for understanding stress and interruptions

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2025Anti-Stress: A Wearable Device With Real-Time Breathing Feedback for Stress Relief

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