Results 71 to 80 of about 3,076 (167)
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
With the modernization of sports, the application of digital technology in university physical education has gained increasing attention. This study explores the effectiveness of OpenPose skeleton tracking technology in sports dance instruction using a ...
Y. Ge, B. Abdullah, Hazizi Abu Saad
semanticscholar +1 more source
A Human–Robot Collaboration Control Framework for Supernumerary Robotic Limbs
ABSTRACT In this paper, a novel human–robot collaboration (HRC) framework is proposed to enhance the capability of Supernumerary Robotic Limbs (SRLs). The proposed framework consists of three key modules: human motion intention recognition, disturbance rejection control, and obstacle avoidance, all of which are crucial for SRLs in the process of HRC ...
Jing Luo +7 more
wiley +1 more source
A markerless, computer vision‐based algorithm (RealHorse) was evaluated for estimating the groundline in trotting horses from multiple camera angles, including handheld recordings, on a treadmill. The algorithm showed high agreement with a fixed reference, with a groundline angle absolute error of 0.45° and stride‐level Maxdiff and Mindiff absolute ...
Karsten Key +4 more
wiley +1 more source
Research on Motion Correction Method Based on Improved OpenPose and Fuzzy Decision
In response to the issues of traditional sports correction systems, which rely on rigid angle thresholds for action assessment leading to ambiguous classification boundaries, high costs of personal training services, and uneven distribution of resources,
Keqiong Chen +5 more
semanticscholar +1 more source
The paper presents a native length encoding approach alongside a human skeleton‐based action recognition model (named CLS‐Transformer) for home service robots. The model incorporates a novel cue coding strategy that captures richer feature information. The experimental results demonstrate that CLS‐Transformer achieves superior recognition accuracy and ...
Jie Shen +5 more
wiley +1 more source
Research on Lightweight Traffic Police Gesture Recognition Based on Optical Flow Enhancement
This study proposes a two‐stage optical flow‐enhanced framework for traffic police gesture recognition. The first stage employs the RAFT algorithm to extract precise motion vectors while suppressing background interference, followed by a lightweight ShuffleNet‐K5 network with 5 × 5 depthwise separable convolution and a novel Simplified State Attention (
Mengying Chang, Huizhi Xu, Yongshuai Ge
wiley +1 more source
GSDF‐Gait: A GCN and Self‐Attention Dynamic Fusion Network for Gait‐Based Person Recognition
Graph convolutional networks (GCNs) are extensively used for skeleton‐based gait recognition. Nevertheless, despite significant improvements, a substantial challenge lies in the restricted receptive field of GCNs. However, separate structural joints could also reveal a notably important correlation.
Md. Khaliluzzaman +2 more
wiley +1 more source
OpenBeePose: A Remote Sensing Framework for Bee Pose Estimation Using Deep Learning
The application of remote sensing technology for pose estimation in beekeeping has the potential to transform colony management, improve bee health and mitigate the decline in bee populations.
Sajad Sabzi +5 more
doaj +1 more source

