WKNN indoor positioning method based on spatial feature partition and basketball motion capture

• Main Authors: Jie Zhang, Huaqing Mao
• Format: Article
• Language: English
• Published: Elsevier 2022-01-01
• Series: Alexandria Engineering Journal
• Subjects: Space feature partition; WKNN indoor positioning; Basketball sports; Motion capture
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110016821003203

In the process of social progress and development, the wide application of various technologies has provided convenience for the development of various fields, and the development of motion capture technology has provided reliable technical support for the development of basketball. In the development process of indoor positioning technology, although many advanced technologies can help people obtain some key data, there are still many shortcomings. This article analyzes the shortcomings of various technologies in the process of positioning, and proposes an indoor positioning method of WKNN based on the spatial characteristics of the object for the problems of large positioning results and low accuracy. This is to a certain extent Solved many problems. In practice, the Wi-Fi fingerprint database used by the WKNN algorithm proposed for spatial features is consistent with the traditional WKNN algorithm, but the results calculated by the traditional WKNN algorithm may have large errors and people cannot judge the calculation. The newly proposed algorithm can solve the problem of large calculation result span and inaccurate positioning caused by the selection of multiple target points in the same area for analysis by traditional algorithms. In order to reduce the complexity of subsequent research work, this article also focuses on the space the characteristics of the object are analyzed, and the constraint points are specified during the calculation process, so that the result distribution of the traditional WKNN algorithm can be restricted to prevent large interval jumps. Specific experimental analysis can prove that the method proposed in this article can solve the problem of low positioning accuracy to a certain extent.