Skeleton-Based Action Quality Assessment with Anomaly-Aware DTW Optimization for Intelligent Sports Education [PDF]
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 +5 more
doaj +2 more sources
Dual-Stream STGCN with Motion-Aware Grouping for Rehabilitation Action Quality Assessment [PDF]
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 +4 more
doaj +2 more sources
Enhancing Long-Term Action Quality Assessment: A Dual-Modality Dataset and Causal Cross-Modal Framework for Trampoline Gymnastics [PDF]
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 +4 more
doaj +2 more sources
LLM-FMS: A fine-grained dataset for functional movement screen action quality assessment. [PDF]
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 +4 more
doaj +3 more sources
Semantic-aware self-supervised learning using progressive sub-action regression for action quality assessment [PDF]
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 +3 more
doaj +2 more sources
Athlete action quality assessment based on transfer neural network quality score decoupling in complex sports scenarios [PDF]
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 +3 more
doaj +2 more sources
Multimodal Action Quality Assessment
IEEE Transactions on Image Processing ...
Ling-An Zeng, Wei-Shi Zheng 0001
openaire +4 more sources
Action Quality Assessment with Temporal Parsing Transformer
accepted by ECCV ...
Yang Bai 0011 +7 more
openaire +3 more sources
Hierarchical Graph Convolutional Networks for Action Quality Assessment
Action quality assessment (AQA) automatically evaluates how well humans perform actions in a given video, a technique widely used in fields such as rehabilitation medicine, athletic competitions, and specific skills assessment. However, existing works that uniformly divide the video sequence into small clips of equal length suffer from intra-clip ...
Kanglei Zhou +3 more
openaire +4 more sources
Survey on Action Quality Assessment Methods in Video Understanding [PDF]
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

