Simulation research on Tai Chi movement posture resolution based on multi-MEMS sensor combination

Q4 Engineering Measurement Sensors Pub Date : 2024-06-17 DOI:10.1016/j.measen.2024.101256
Wang Benzheng
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Abstract

The combined system based on multiple MEMS sensors is a miniature measurement system used for dynamic output and display of 3D information about the user's posture. It is mainly used for various Tai Chi movement posture calculation simulation research, wearable devices, etc. This article explores MEMS sensor technology, focusing on MEMS sensor data processing, Tai Chi movement position calculation and fusion calculation positioning algorithm. Due to the high noise characteristics of MEMS sensor devices, time series analysis is used to model MIMU signals and Kalman filtering is optimized. As a research field, simulation of Tai Chi movement appears in the intersection of biomechanics, robotics and computer science. The purpose is to create a computer model to simulate the natural and real body movements of the human body under certain conditions. In addition to creating special effects, Tai Chi movement posture calculation simulation can also be used for operation training and research on body structure. This article first introduces the typical applications of several MEMS sensor combinations, and then introduces the key technology of studying Tai Chi movement simulation. The kinematics and mechanics data of Tai Chi are obtained using biomechanical measurement technology, while the individual simulation of Tai Chi dynamics is realized in a certain mode of the machine. By creating a kinematic model of the human upper limb, and finally creating a flexible machine that imitates the human upper limb, to analyze the kinematic characteristics of the human upper limb, and cleverly realize the imitation of active interaction, the simulation of human movement and the solution of Tai Chi movement posture Simulation.

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基于多 MEMS 传感器组合的太极拳运动姿势解析仿真研究
基于多个 MEMS 传感器的组合系统是一种微型测量系统,用于动态输出和显示用户姿势的三维信息。它主要用于各种太极拳运动姿势计算模拟研究、可穿戴设备等。本文探讨了 MEMS 传感器技术,重点是 MEMS 传感器数据处理、太极运动姿势计算和融合计算定位算法。由于 MEMS 传感器设备的高噪声特性,本文采用时间序列分析对 MIMU 信号进行建模,并优化卡尔曼滤波。作为一个研究领域,太极运动仿真出现在生物力学、机器人学和计算机科学的交叉领域。其目的是创建一个计算机模型,以模拟人体在特定条件下自然而真实的肢体运动。太极拳运动姿态计算模拟除了可以产生特殊效果外,还可用于操作训练和人体结构研究。本文首先介绍了几种 MEMS 传感器组合的典型应用,然后介绍了研究太极运动模拟的关键技术。太极拳的运动学和力学数据是通过生物力学测量技术获得的,而太极拳动力学的个体模拟则是在机器的某种模式下实现的。通过建立人体上肢的运动学模型,最后制造出模仿人体上肢的柔性机器,分析人体上肢的运动学特征,巧妙地实现模仿的主动交互,模拟人体运动,解决太极拳运动姿势仿真的问题。
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来源期刊
Measurement Sensors
Measurement Sensors Engineering-Industrial and Manufacturing Engineering
CiteScore
3.10
自引率
0.00%
发文量
184
审稿时长
56 days
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