Gesture and Identity dataset collected by TDM-MIMO radar
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This dataset provides a comprehensive collection of multimodal millimeter-wave (mmWave) radar echoes for joint gesture and identity recognition tasks. It was collected using a Time-Division Multiplexing Multiple-Input Multiple-Output (TDM-MIMO) radar system from 7 volunteer participants (4 males, 3 females), each performing 7 distinct gestures, including left swipe, right swipe, upward and downward motions, clockwise and counterclockwise rotations, and finger snapping. Each gesture was repeated 40 times per subject, resulting in a total of 1,960 samples. The data acquisition was conducted under controlled conditions to minimize environmental interference. The dataset is well-suited for research in human-computer interaction (HCI), gesture recognition, biometric identification, and multimodal learning, and supports both single-task and multitask learning scenarios.



