3 results match your criteria: "Hebei Vocational College For Correctional Police[Affiliation]"
Vigorous physical activity and self-rated health during adolescence: A cross-sectional survey.
Front Public Health
November 2022
Institute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, China.
Background: Despite the positive relationship between self-rated health and general physical activity, very little research has touched upon the relationship between self-rated health and vigorous physical activity. Such research will help to promote self-rated health among adolescents by addressing the close relationship between self-rated health and the components of physical activity.
Purpose: In this study, the relationship between self-rated health and vigorous physical activity among Chinese adolescents were analyzed.
Intelligent Correction Method of Shooting Action Based on Computer Vision.
Comput Intell Neurosci
July 2022
Police Physical Education Department, Hebei Vocational College for Correctional Police, Shijiazhuang 050081, China.
Aiming at the problem that the students' long-term use of nonstandard shooting action leads to poor basketball teaching effect, an intelligent correction method of shooting action based on computer vision is proposed. Combined with the principle of computer vision, the image acquisition model of basketball shooting action is constructed. The edge contour and adaptive feature segmentation of basketball images are detected, and abnormal shooting movements are recognized.
View Article and Find Full Text PDFRecognition of Badminton Shot Action Based on the Improved Hidden Markov Model.
J Healthc Eng
March 2022
Police Physical Education Department, Hebei Vocational College For Correctional Police, Shijiazhuang 050081, Hebei, China.
Article Synopsis
- The popularity of badminton is rising due to its accessibility and ease of learning, prompting the development of a wearable classification system to recognize badminton actions.
- A single acceleration sensor attached to the racket collects data, and an improved hidden Markov model (HMM) is used to identify ten standard badminton strokes.
- The new model shows a 7.3% increase in recognition accuracy compared to traditional methods, achieving a 95% overall recognition rate, which can help enhance the skills of badminton players.