The fields of human activity analysis have recently begun to diversify. Many researchers
have taken much interest in developing action recognition or action prediction methods. The …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

This work improves the theoretical basis of N-soft sets and insists on their practical
applications in a multi-agent context. N-soft sets characterize the alternatives in terms of …

Estimating action quality, the process of assigning a" score" to the execution of an action, is
crucial in areas such as sports and health care. Unlike action recognition, which has millions …

This work explores the problem of exercise quality measurement since it is essential for
effective management of diseases like cerebral palsy (CP). This work examines the …

This paper proposes an end-to-end temporal attention learning method to improve the
performance of action quality assessment in sports video. For temporal weighted training, an …

Predicting an athlete's performance based on short footage is highly challenging.
Performance prediction requires high domain knowledge and enough evidence to infer an …

Re-identifying participants in ultra-distance running competitions can be daunting due to the
extensive distances and constantly changing terrain. To overcome these challenges …

基于视觉的人体动作质量评价利用计算机视觉相关技术自动分析个体运动完成情况,
并为其提供相应的动作质量评价结果. 这已成为运动科学和人工智能交叉领域的一个热点研究 …

When judging performances in a sequence, the current score is often influenced by the
preceding score. Where athletes are perceived to be similar, a judgement is assimilated …