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We evaluate community activity in social network based on body motion synchrony of two people during face-to-face communication. In particular, we look at people's body motion synchrony when they are in the same communities and from different communities. Using wearable sensors, we measured individuals' time series body motion data and face-to-face communication data. From these data we detected communities...
In order to clarify the relationship between human social interaction and mental health, we measured face-to-face communication pattern for a few months and conducted a questionnaire on mental health in two organizations in real world. Face-to-face interaction data were measured using wearable sensing system in two organizations in Japan. We extracted some feature values from those two kind data and...
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