室外竞技状态下运动员姿态摄像测量及应用

摘要:

为解决竞技状态下运动员三维姿态现场测量的需求，利用非接触式摄像测量方法和为冬季体育运动项目量身打造的专用观测设备，采集了8名跳台滑雪运动员在训练过程中的原始数据.通过深度学习的改进方法识别与定位运动员关节点的三维信息，进而开展了运动员姿态测量与动作分析研究，获得了起跳阶段运动员的起跳速度对飞行距离的影响及主要关节夹角的变化规律.研究发现起跳速度是影响飞行距离的重要因素，同时获得了起跳到飞行初始阶段肢体角度的变化规律.该方法和设备可为各类体育项目的运动员姿态及器械运动参数测量提供新的手段，其所获得的观测结果可为教练员指导运动员技术动作提供精细化的数据支持.

Abstract:

To meet the needs of three-dimensional posture measurement under complex environments, using the non-contact camera measurement method and the specially designed observation equipment for winter sports, the data of 8 ski jumpers during the training process were collected. Firstly, the joint points of the athletes were identified and tracked based on a deep learning improved method. And then, the studies on athletes' attitude measurement and movement analysis were performed. Finally, the influence of the take-off speed of the athletes on the flight distance and the law of change of the main joint angle were analyzed. The results show that the take-off speed is an important factor affecting the flight distance. At the same time, the law of limb angle changes from takeoff to the initial flight stage has been obtained. The method and equipment can provide a new way for the measurement of athletes' posture and equipment motion parameters of various sports, and the observation results can provide the coaches with refined data to guide the athletes' technical movement.