Multimodal Self-Assessed Personality Estimation during Crowded Mingle Scenarios Using Wearables Devices and Cameras

This paper focuses on the automatic classification of self-assessed personality traits from the HEXACO inventory during crowded mingle scenarios. These scenarios provide rich study cases for social behavior analysis but are also challenging to analyze automatically as people in them interact dynamically and freely in an in-the-wild face-to...

The MatchNMingle dataset: A novel multi-sensor resource for the analysis of social interactions and group dynamics in-the-wild during free-standing conversations and speed dates

We present MatchNMingle, a novel multimodal/multisensor dataset for the analysis of free-standing conversational groups and speed-dates in-the-wild. MatchNMingle leverages the use of wearable devices and overhead cameras to record social interactions of 92 people during real-life speed-dates, followed by a cocktail party. To our knowledge,...