WebAccording to a whole-body kinetic equation of the humanoid robot, driving torques of all joints of lower limbs of the humanoid robot are obtained, the driving torques are applied to the lower limbs of the humanoid robot, and the humanoid robot enters a take-off stage; when the upper body position of the humanoid robot reaches a take-off height, the humanoid … WebExtreme pose variation is one of the key obstacles to accurate face recognition in practice. Compared with current techniques for pose-invariant face recognition, which either expect pose invariance from hand-crafted features or data-driven deep learning solutions, or first normalize profile face images to frontal pose before feature extraction, we argue that it is …
Real-Time Hand Posture Recognition for Human-Robot Interaction …
Web22 mrt. 2024 · The hand pose is recognized by using gentle AdaBoost learning algorithm and Local Binary Pattern features. The system is developed on an Android OS platform. … WebPublications Google Scholar . ORCID (ID: 0000-0003-2649-9893). Books. The NUS hand posture data sets I & II. Robotics (ground, aerial) and Humanoid Robots. Artificial Intelligence - Big Data, Predictive Maintenance, Computer Vision, Evolutionary Optimization, Fuzzy Systems, Artificial Neural Networks, Rough Sets, Natural Language Processing. … briefly investigate skill in statistical
Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks ...
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