Results 1 to 10 of about 495,068 (256)

Dual-Stream STGCN with Motion-Aware Grouping for Rehabilitation Action Quality Assessment [PDF]

Sensors
Action quality assessment automates the evaluation of human movement proficiency, which is vital for applications like sports training and rehabilitation, where objective feedback enhances patient outcomes.
Zhejun Kuang, Zhaotin Yin, Yuheng Yang, Jian Zhao, Lei Sun   +4 more
doaj   +2 more sources

Skeleton-Based Action Quality Assessment with Anomaly-Aware DTW Optimization for Intelligent Sports Education [PDF]

Sensors
In intelligent sports education, current action quality assessment (AQA) methods face significant limitations: regression-based methods are heavily dependent on high-quality annotated data, while unsupervised methods lack sufficient accuracy and degrade ...
Wen Fu, Wenze Fang, Jiahao Huang, Kexin Zhu, Renguang Chen, Chen Feng   +5 more
doaj   +2 more sources

Enhancing Long-Term Action Quality Assessment: A Dual-Modality Dataset and Causal Cross-Modal Framework for Trampoline Gymnastics [PDF]

Sensors
Action quality assessment (AQA) plays a pivotal role in intelligent sports analysis, aiding athlete training and refereeing decisions. However, existing datasets and methods are limited to short-term actions, lacking comprehensive spatiotemporal modeling
Fengyan Lin, Jiahao Huang, Zhide Chen, Kexin Zhu, Chen Feng   +4 more
doaj   +2 more sources

LLM-FMS: A fine-grained dataset for functional movement screen action quality assessment. [PDF]

PLoS ONE
The Functional Movement Screen (FMS) is a critical tool for assessing an individual's basic motor abilities, aiming to prevent sports injuries. However, current automated FMS evaluation is based on deep learning methods, and the evaluation of actions is ...
Qingjun Xing, Xuyang Xing, Ping Guo, Zhenhui Tang, Yanfei Shen   +4 more
doaj   +3 more sources

Semantic-aware self-supervised learning using progressive sub-action regression for action quality assessment [PDF]

Scientific Reports
Action Quality Assessment (AQA) is a growing field in computer vision that focuses on objectively evaluating human actions from videos, with applications across various domains.
Marjan Mazruei, Ehsan Fazl-Ersi, Abedin Vahedian, Ahad Harati   +3 more
doaj   +2 more sources

Athlete action quality assessment based on transfer neural network quality score decoupling in complex sports scenarios [PDF]

Scientific Reports
Action quality assessment (AQA) is an important and challenging task in computer vision, which has received wide attention in many fields, especially in sports video analysis.
Lei Gao, Yuhong Ma, Sijuan Bi, Shuangjun Li   +3 more
doaj   +2 more sources

Survey on Action Quality Assessment Methods in Video Understanding [PDF]

Jisuanji kexue, 2022
Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer ...
ZHANG Hong-bo, DONG Li-jia, PAN Yu-biao, HSIAO Tsung-chih, ZHANG Hui-zhen, DU Ji-xiang
doaj   +1 more source

A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Human activity analysis in the legal monitoring environment plays an important role in the physical rehabilitation field, as it helps patients with physical injuries improve their postoperative conditions and reduce their medical costs. Recently, several
Long Yao, Qing Lei, Hongbo Zhang, Jixiang Du, Shangce Gao   +4 more
doaj   +1 more source

HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN

Signals, 2021
Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared with
Paritosh Parmar, Brendan Morris
doaj   +1 more source

Uncertainty-Driven Action Quality Assessment

CoRR, 2022
Automatic action quality assessment (AQA) has attracted increasing attention due to its wide applications. However, most existing AQA methods employ deterministic models to predict the final score for each action, while overlooking the subjectivity and diversity among expert judges during the scoring process.
Caixia Zhou, Yaping Huang
openaire   +2 more sources