2D Posture Estimation of Human Arm

Human pose estimation and automatic detection is a common task in Human-Computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the wh...

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Bibliographic Details
Published inInternational Conference on Mathematics and Computers in Sciences and in Industry (Online) pp. 168 - 173
Main Authors Rosca, Sebastian Daniel, Leba, Monica, Sibisanu, Remus
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.08.2024
Subjects
Arms
Biological system modeling
Biomimetics
control
Kinematics
Machine learning algorithms
Manipulators
Mathematical models
Pose estimation
Regression tree analysis
robot
Service robots
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Summary:Human pose estimation and automatic detection is a common task in Human-Computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the whole human body posture estimation using anatomical human joints detection as inputs for specialized algorithms to calculate it based on key points obtained from a person Kinematic tree using regression, generation or part relation as models to estimate the optimal position from video or even from image. In this paper we propose a solution to estimate of 2D human arm posture of a subject using image capture as input for advanced machine learning algorithms to determine the subject joints position used to control in biomimetic manner a simulation of human like robotic arm with six degrees of freedom as a computer-aided model in Matlab-Simulink based on forward kinematics.
ISSN:2996-2056
DOI:10.1109/MCSI63438.2024.00035