paper-with-me

홈 › Papers

Key Body Posture Characteristics of Short-distance Speed Skaters at the Start Based on Artificial Intelligence

2025-02-21 · Zhang Xueliana, Fang Yingjieb, Liu Hang

Objective To conduct biomechanical analysis on the starting technique of male short-distance speed skating athletes in China and determine the key factors affecting the effectiveness of the starting movement. Methods 13 high-level male short-distance speed skating athletes were selected as the test subjects, and kinematic data were collected using an artificial intelligence video capture and analysis system. The body posture features and their effects on the starting movement performance were analyzed in the three stages of starting preparation, starting, and sprinting. Results The post-stability angle, anterior knee angle of the front leg, posterior knee angle of the rear leg, and stride length showed moderate to high positive correlations with the starting speed during the starting preparation stage. The trunk angle showed a high negative correlation with the starting speed. The trunk angle (TO4, TD4, TO6, TD6), hip angle (TO1, TO4, TO6), and knee angle (TD1) showed moderate to high negative correlations with the effectiveness of the starting movement during the starting and sprinting stages. The knee angle (TD2), ice-contact angle (TD2, TD4, TD5, TD6), and propulsion angle (TO1, TO4, TO7) showed moderate positive correlations with the effectiveness of the starting movement. Conclusion Stride length, left knee angle, and post-stability angle are the key factors affecting the starting speed. The larger the post-stability angle and left knee angle and the longer the stride length, the faster the starting speed. During the starting and sprinting stages, the smaller the ice-contact angle and propulsion angle, the greater the trunk angle and hip angle changes, the more effective the starting movement.

📄 PDF Abstract BibTeX arXiv:2502.15185

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

SPEED The monocular depth estimation (MDE) is the task of estimating depth from a single frame. This information is an essential knowledge in many computer vision tasks such as scene…

Similar Papers 제목 키워드 기반

Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition

2025-03-11 · Seyed Muhammad Hossein Mousavi

In the domain of emotion recognition using body motion, the primary challenge lies in the scarcity of diverse and generalizable datasets. Automatic emotion recognition uses machine learning and artificial intelligence te…

DiversityEmotion RecognitionSynthetic Data Generation

Estimation of Human Body Shape and Posture Under Clothing

2013-12-17 · Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton, Chang Shu 외

Estimating the body shape and posture of a dressed human subject in motion represented as a sequence of (possibly incomplete) 3D meshes is important for virtual change rooms and security. To solve this problem, statistic…

Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities

2025-11-25 · Seyede Niloofar Hosseini, Ali Mojibi, Mahdi Mohseni, Navid Arjmand 외 arxiv

This study aimed to explore the application of deep neural networks for whole-body human posture prediction during dynamic load-reaching activities. Two time-series models were trained using bidirectional long short-term…

Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches

2018-11-01 · Yaqiang Yao, Yan Liu, Huanhuan Chen

Human activity recognition has drawn considerable attention recently in the field of computer vision due to the development of commodity depth cameras, by which the human activity is represented as a sequence of 3D skele…

Activity RecognitionHuman Activity Recognition

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

2024-02-09 · Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai 외

The spread of the Coronavirus disease-2019 epidemic has caused many courses and exams to be conducted online. The cheating behavior detection model in examination invigilation systems plays a pivotal role in guaranteeing…

Multiple Instance Learning