运动捕捉
计算机科学
计算机视觉
人工智能
流离失所(心理学)
弹道
可穿戴计算机
树遍历
保险丝(电气)
无线传感器网络
模拟
运动(物理)
人体运动
惯性测量装置
算法
工程类
嵌入式系统
电气工程
物理
计算机网络
心理学
心理治疗师
天文
作者
Sen Qiu,Hongkai Zhao,Nan Jiang,Donghui Wu,Guangcai Song,Hongyu Zhao,Zhelong Wang
摘要
Using inertial measurement units mounted on foot is a feasible approach to improve the positioning accuracy for the human motion capture system. This paper presents a lightweight and low cost wireless inertial motion capture system for the simultaneous reconstruction of human body attitude and displacement. First of all, the device is based on human sensor networks and distributes 15 sensor nodes on the key human limbs. Then, after an initial sensor alignment with the reduced error, a zero-speed update algorithm is used to calculate foot displacement. In addition, to constantly update the human posture information, a kind of motion reconstruction method based on the gradient descent method was used to fuse the sensor data. Finally, a new method of three-dimensional human body reconstruction is proposed, which is different from the traditional motion capture system. Through unconstrained traversal of the root, the human posture and foot trajectory are combined to realize the synchronous reconstruction of posture and displacement. It is concluded from the experiment results that the estimation errors are well controlled, and motion patterns are consistent with the actual situation.
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