Fuzzy Logic Interacts with Attention: Trustworthy Tennis Movements Identification for Motion Capture Data

Spatial-Temporal Graph Kronecker Convolutional Network with Cauchy Activation Function: Trustworthy Skeleton-Based Tennis Stroke Recognition Architecture

Dance Movement Recognition and Analysis Based on Deep Learning and Fuzzy Control Algorithms

The recognition and analysis of dance movements pose significant challenges due to the complexity and ambiguity of spatiotemporal motion data. This study presents a novel Dance Movement Recognition with Deep Learning and Fuzzy Control (DMR-DFC) framework that integrates Convolutional Neural Networks (CNNs) for spatiote...

Research on Rehabilitation Training Movement Recognition and Real-time Feedback Model Based on Computer Vision

This study provides a replicable technical path for the validation of rehabilitation evaluation algorithms without clinical data collection through the adaptive fusion mechanism to dynamically integrate the confidence of the deep network and the matching score of dynamic time warping template.

Explainable 3D Convolutional Neural Networks Spatiotemporal Learning for Human Handshake Interaction Recognition

This study presents an efficient and interpretable deep learning framework for automatic handshake recognition from video sequences that employs a pretrained 3D Convolutional Neural Network to directly learn spatiotemporal features, enabling effective modelling of both motion dynamics and spatial relationships between...

CDGaitFusion: a multimodal gait recognition network based on the fusion of commonality patterns and differential features

CDGaitFusion is introduced, a multimodal gait recognition framework that integrates shared motion patterns with individual-specific features that provides a reliable and extensible framework for mitigating gait feature degradation under complex real-world conditions.

Micro-Expression Recognition Network Based on Attention Mechanism and Dual-Channel Fusion

: Micro-expression recognition plays a significant role in psychological analysis and public safety. To address the challenges of short duration and subtle motion interference in micro-expressions, this paper proposes an Asymmetric Dual-channel Fusion Network (ADF-Net) based on attention mechanisms. The method employs...