Eirini Malliaraki
ABSTRACT
Personal drones are becoming increasingly present in our urban environments and everyday lives. While primarily being used for entertainment, agriculture, delivery, and filming, drones are becoming more and more autonomous. In time, personal drones will become entities that can be collocated with users, and eventually even play a role as social collaborators. The proposed demonstration suggests a mapping function for human interpretable drone motions corresponding to five human emotional states (i.e anger, happiness, sadness, surprise, and fear), using the personal drone's movements (i.e, changing speed or rotations) instead of anthropomorphizing it.
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Index Terms
- Social Interaction with Drones using Human Emotion Recognition
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