OREBA (Objectively Recognizing Eating Behavior and Associated Intake)

Introduced by Rouast et al. in OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake

The OREBA dataset aims to provide a comprehensive multi-sensor recording of communal intake occasions for researchers interested in automatic detection of intake gestures. Two scenarios are included, with 100 participants for a discrete dish and 102 participants for a shared dish, totalling 9069 intake gestures. Available sensor data consists of synchronized frontal video and IMU with accelerometer and gyroscope for both hands.

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