Analysing the dynamics in social interactions in indoor spaces entails evaluating spatial–
temporal variables from the event, such as location and time. Additionally, social interactions …

Self-supervised video representation learning aimed at maximizing similarity between
different temporal segments of one video, in order to enforce feature persistence over time …

In view of the poor effect of current sports dance movement detection, this paper puts
forward a sports dance movement detection method based on posture recognition. By using …

Gait analysis plays a crucial role in detecting and monitoring various neurological and
musculoskeletal disorders early. This paper presents a comprehensive study of the …

Human joint motion exhibits a high degree of freedom, with different joints capable of
moving and rotating in various directions. Consequently, accurately capturing the features of …

Deep learning models, in particular\textit {image} models, have recently gained
generalisability and robustness.% are becoming more general and robust by the day. In this …

Because of the fast take-off speed of badminton, a single action recognition method can't
quickly and accurately identify the action. Therefore, a new badminton take-off recognition …

Video, as an important carrier of big data storage, can help people to achieve behavioral
analysis as well as localization. The study applies it to the training of basketball players as …

The existing recognition methods of complex human movements in Wushu have the
problem of imperfect kinetic energy model, which leads to low recognition accuracy. A …

Posture recognition, as a research hotspot, has been widely applied. A recognition model
based on bone key point detection is proposed for the posture correction application …