基于计算机体感技术的智能姿态分析算法

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI:10.1109/ICECA55336.2022.10009542

Chen Ping

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引用次数: 0

摘要

该系统通过摄像头实时捕捉现场图像，结合体感检测设备将服装的2D图片或3D模型叠加在乒乓球运动员的图像上，实现虚拟服装与运动员姿态的融合，并通过Unity3D虚拟现实平台成功获取深度图像。数据和骨髂跟踪数据，并对数据进行预处理，得到一种在Unity3D中结合Kinect体感设备定制用户姿势的方法。开发一套具有自主产权、操作方便、性能稳定、可直接应用于乒乓球领域的“智能乒乓球专项技战术视频分析系统”，可投入市场。

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Intelligent Attitude Analysis Algorithm based on Computer Somatosensory Technology

The system captures live images in real time through cameras and superimposes 2D pictures or 3D models of clothing on the images of table tennis players combined with somatosensory detection devices, to realize the fusion of virtual clothing and athletes' postures, and successfully obtain depth images through the Unity3D virtual reality platform. Data and bone and iliac tracking data and preprocessed the data to obtain a method of customizing user poses in Unity3D combined with Kinect somatosensory devices. Develop a set of independent property rights, easy to operate, stable performance, and can be used directly the “Intelligent Table Tennis Special Technical and Tactical Video Analysis System” that is practiced in table tennis and can be put into the market.

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来源期刊

2022 6th International Conference on Electronics, Communication and Aerospace Technology

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