Audio-only recognition of touch gestures and emotional arousal/valence is feasible on the Pepper robot using a 0.24-million-parameter CNN, with accuracies around 84% for gestures and 54% for five-way arousal-valence states.
Humans interacting with multi-robot systems: a natural affect-based approach,
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Sound-Based Recognition of Touch Gestures and Emotions for Enhanced Human-Robot Interaction
Audio-only recognition of touch gestures and emotional arousal/valence is feasible on the Pepper robot using a 0.24-million-parameter CNN, with accuracies around 84% for gestures and 54% for five-way arousal-valence states.