Keypoint & Pose Estimation
Product Overview
Human Pose Estimation: Detects human body keypoints (head, shoulders, elbows, wrists, hips, knees, ankles, etc.) and outputs human skeletal structures.
Typical models: OpenPose, HRNet, YOLO-Pose, etc.
Applications: Behavior analysis, fall detection, motion recognition, fitness and sports posture correction, human-computer interaction.
Hand & Limb Keypoint Estimation: Supports 21 hand keypoints, finger pose tracking and gesture recognition.
Applications: VR/AR interaction, sign language recognition, dexterous robotic manipulation, contactless gesture control.
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