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Hand pose estimation detects and estimates the 2D pose and configuration of a human hand from an image or a video. It identifies the position and orientation of the hand joints, such as the locations of fingertips, knuckles, and the palm.
4 Ιαν 2023 · In the first step, the main focus is on finding the location of each key points of human beings. E.g. Head, shoulder, arm, hand, knee, ankle. The second step is grouping those joints into valid human pose configuration which determines the pairwise terms between body parts.
Star 31k. master. README. License. OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh.
Face Detection. The Human-Parts dataset is a dataset for human body, face and hand detection with ~15k images. It contains ~106k different annotations, with multiple annotations per image.
13 Ιαν 2024 · Arm anatomy consists of 3 main parts: the upper arm, forearm, and hand. It spans from the shoulder to the fingers and contains 30 bones, nerves, blood vessels, and muscles. The brachial plexus supply the arm’s nerves.
1 Σεπ 2019 · Highlights. Article reports the results of a systematic review undertaken to identify characteristics of touchless/in-air hand gestures used in interaction interfaces. Gestures are a humans’ natural mode of interaction, but the way they are used in interaction interfaces is not intuitive and natural.
The HCI interpretation of gestures requires that dynamic and/or static configurations of the human hand, arm, and even other parts of the human body, be measur-able by the machine. First attempts to solve this problem resulted in mechanical devices that directly measure hand and/or arm joint angles and spatial position.
