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
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
Evaluating Kinect, OpenPose and BlazePose for Human Body Movement Analysis on a Low Back Pain Physical Rehabilitation Dataset [PDF]
Aleksa Marusic +2 more
openalex +1 more source
Reading the Social Clock: Analyzing Nonverbal Coordination Dynamics in Casual Chat and Conflict
This study explores changes in interpersonal coordination as dyads transition from a casual chat to conflict. Multiple measures of movement coordination were derived from full‐body motion capture data collected from 66 dyads. Observer ratings were based on computer animations of neutral characters.
Gary Bente +3 more
wiley +1 more source
Research on Real-Time Detection of Safety Harness Wearing of Workshop Personnel Based on YOLOv5 and OpenPose [PDF]
Chengle Fang +4 more
openalex +1 more source
Video‐Based Data‐Driven Models for Diagnosing Movement Disorders: Review and Future Directions
Abstract Movement disorders are abnormal, involuntary movements that can heavily impact a person's quality of life. In clinical practice, diagnosis and severity assessments rely mainly on visual clinical inspections (ie, on subjective expert opinion). With clinical videos commonly acquired as part of examinations, novel data‐driven models have emerged ...
Rafael Martínez‐García‐Peña +3 more
wiley +1 more source
Skeleton‐Based Posture Recognition for Home Care From Virtual Unmanned Aerial Vehicle
ABSTRACT This article presents a novel approach for real‐time posture recognition in monitoring scenarios, utilising a virtual camera simulated on a UAV within virtual environments. Leveraging the MediaPipe Pose library, key points of the body skeleton are extracted, focusing on a subset of 8 key points for computational efficiency.
Andrés Bustamante +4 more
wiley +1 more source
ABSTRACT Aim This study aims to systematically review the real‐time prediction of yoga asanas using artificial intelligence (AI) techniques to improve the quality of life in healthy individuals. Design Systematic review. Methods A comprehensive literature review was conducted in English using the keywords ‘yoga’, ‘asana’, ‘pose’, ‘posture’, ‘machine ...
Gözde Özsezer, Gülengül Mermer
wiley +1 more source
Marker-Less Monitoring Protocol to Analyze Biomechanical Joint Metrics During Pedaling
Marker-less systems are becoming popular to detect a human skeleton in an image automatically. However, these systems have difficulties in tracking points when part of the body is hidden, or there is an artifact that does not belong to the subject (e.g.,
Gil Serrancoli +7 more
doaj +1 more source
Physical Mechanisms of Emotions Evoked by Postural Feedback
ABSTRACT Adopting physical expressions of emotion has been shown to have feedback effects on individuals' mood and behavior. For example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power.
Soren Wainio‐Theberge +2 more
wiley +1 more source

