运动手环中的姿态检测方法研究

Study on the Attitude Detection Method in Sports Bracelet

在可穿戴设备逐渐发展的过程中,姿态检测作为其重要功能之一已经加入到越来越多的可穿戴设备中,因此,对如何在算法上提高姿态检测的准确性进行研究至关重要。通过对余弦测度、四元数算法、自适应波峰检测、人体姿态检测系统这四种姿态判断的主要算法在硬件选择和方法实现进行简要分析和比较,总结出这四种姿态判断算法各自的优缺点及主要适用情境,最后得出适应于儿童手环的相对优化的姿态检测方式。

In the expansion of wearable devices, attitude estimation remains as one of the most important feature in the ever- growing selection of wearable devices, therefore, highlighting the importance of acquiring necessary knowledge on improving attitude estimation accuracy. Through the analysis and comparison of the cosine measure, quaternion algorithm, adaptive wave peak detection and the wearable human posture detection system in hardware selection and practical actualization, it summarizes the advantages and disadvantages of the four attitude judgment algorithms and their main applicable situations. Finally, a relatively optimized attitude detection method suitable for children bracelet is obtained.