Table 1 Research progress of motion recognition technology.

¹⁸

Demrozi et al. (2020)

Key technology of sports artificial intelligence

It focuses on sports behavior recognition technology and sports image analysis technology, and assist athletes’ training and competition analysis through sensor data collection, preprocessing and motion recognition algorithm.

¹⁹

Agarwal & Alam (2020)

Application effect of artificial intelligence in physical education teaching

It is pointed out that artificial intelligence can monitor students’ sports state in real time, provide immediate feedback and guidance, help students correct wrong actions and improve their sports skills.

²⁰

Ferrar et al. (2020)

Human pose estimation based on multi-sensor fusion

In order to improve the accuracy and robustness of attitude estimation, a multi-sensor data fusion method combining inertial measurement unit, optical camera and depth sensor is proposed.

²¹

Dua et al. (2021)

Application of attention mechanism in human posture estimation

The principle of attention mechanism is introduced, and the application of spatial attention mechanism and channel attention mechanism in human posture estimation task is explained in detail.

²²

Mazzia et al. (2022)

Estimation and recognition of human posture using bone point information

It describes a method of detecting bone points in an image through a deep learning model, and estimating and recognizing the posture based on the connection relationship between bone points.