Rebecca Lietz
ABSTRACT
This paper provides an overview of a mood detection system using the Fitbit Ionic wearable smart watch. Wearable technologies have become more easily accessible and widely used in daily activities and even work settings. The proposed application uses heart rate and steps to capture mood from the individual. This knowledge can be used for health intervention or workplace improvement. The decision trees used were inaccurate in predicting the user's mood. In future work, we will add additional annotation to increase prediction accuracy.
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Index Terms
- A wearable system for unobtrusive mood detection
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