In modern sports training, collecting and analyzing basketball player's posture data is of great significance for improving the scientific of the coach's training plan and improving the athlete's training effect. The existing basketball action recognition technology has many challenges such as low efficiency and high error rate. In order to effectively identify the basketball player's sports posture and improve the athlete's training effect, this paper proposes a basketball shooting gesture recognition method based on image feature extraction and machine learning. First of all, the action posture data of basketball players is collected by image feature extraction method, and multi-dimensional motion posture features are extracted from time domain and frequency domain. Then, through the method of feature selection and Gaussian hidden variables, the accurate classification and recognition of basketball shooting gestures are realized. The actual case analysis and the assessment of shooting action recognition effect show the superiority of the achieved basketball shooting action recognition technology. This method can provide scientific reference and basis for the development of modern basketball training.
This study verified general inferences on the finger and palm pressure distribution of a basketball player in the moment before that player shoots a basketball through a scientific qualitative testing method. We mounted the sensor on the hands of college basketball players and monitored the dynamic pressure of each player's hand while the player threw a basketball. The dynamic pressure distribution of the fingers and palm of a basketball player throwing a ball can be verified. According to the experimental results, college basketball players typically use the index finger to control the direction and power of force in the moment before shooting a basketball. This study successfully used a scientific qualitative test method to monitor the dynamic pressure of the fingers and palms of basketball players and verified the general inference that a typical basketball player mainly uses the index finger to control the direction and power of force in the moment before throwing a ball. In the future, this study, measuring the dynamic pressure distribution of the fingers and palm, can be applied to simulate hand manipulation in many biomedical and robotic applications.
Johnson, Jerry. "Basketball." Mathematics in Culture and Society. Jill E. Thomley and Sarah J. Greenwald. Salem Press, 2013. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=e862xna&AN=501786&site=ehost-live&scope=site.
The musculoskeletal system comprises one of the major tissue/organ systems in the body. The three main types of muscle tissue are skeletal, cardiac and smooth muscle groups. Skeletal muscle attaches to the bone by tendons, and together they produce all the movements of the body. The skeletal muscle fibers are crossed with a regular pattern of fine red and white lines, giving the muscle a distinctive striated appearance. Hence they are also known as striated muscle.
Scanlon, Valerie, and Tina Sanders. Essentials of Anatomy and Physiology, F. A. Davis Company, 2014. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/stclaircc-ebooks/detail.action?docID=1867080.
I magine for a moment that people did not have skeletons. What comes to mind? Probably that each of us would be a little heap on the floor, much like a jellyfish out of water. Such an image is accurate and reflects the most obvious function of the skeleton: to support the body. Although it is a framework for the body, the skeleton is not at all like the wooden beams that support a house. Bones are living organs that actively contribute to the maintenance of the internal environment of the body.
Scanlon, Valerie, and Tina Sanders. Essentials of Anatomy and Physiology, F. A. Davis Company, 2014. ProQuest Ebook Central, http://ebookcentral.proquest.com/lib/stclaircc-ebooks/detail.action?docID=1867080.
Created from stclaircc-ebooks on 2020-11-06 05:46:00.