mmEgoHand fuses head-mounted mmWave radar with IMU data to predict 3D hand keypoints and recognize eight interaction gestures, reaching 90.8% accuracy on its own 10-subject dataset.
Realtime multi-person 2d pose estimation using part affinity fields,
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mmEgoHand: Egocentric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMU
mmEgoHand fuses head-mounted mmWave radar with IMU data to predict 3D hand keypoints and recognize eight interaction gestures, reaching 90.8% accuracy on its own 10-subject dataset.