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一个低成本的惯性测量单元运动捕捉系统用于操作姿势收集和识别

Mingyue Yin¹, Jianguang Li¹, Tiancong Wang²

¹School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

Sensors (Basel, Switzerland)

|January 26, 2024

概括

这项研究介绍了一种低成本的人类运动捕捉系统,使用惯性传感器进行准确的工厂姿势识别. 该系统在识别七种常见的工业姿势时达到98.24%的准确性.

科学领域:

工业工程工业工程工业工程
人与计算机的交互
传感器技术传感器技术

背景情况:

人体姿势识别对于工厂的安全性和效率至关重要.
惯性传感器比光学传感器具有优势,但通常价格昂贵.
现有的解决方案缺乏成本效益,无法在工厂广泛采用.

研究的目的:

开发一个低成本的人类运动捕捉系统,用于工业环境中的实时姿势识别.
为了利用现有的BMI 160惯性测量单位 (IMU) 提供一个负担得起的解决方案.
验证系统在识别常见工厂操作姿势方面的有效性.

主要方法:

设计了一个利用6个BMI 160 IMU和WIFI通信的系统.
数据处理包括计算关节旋转角度和位移.
一个双向长期短期记忆 (BiLSTM) 模型被训练在 16,067 个标记样本上.
在Unity3D上使用数字人体模型进行可视化.

主要成果:

该系统准确地捕捉了人类的关节运动,并计算了实时姿势.
该BiLSTM模型在识别七种不同的姿势方面实现了98.24%的平均准确性.
该系统在模拟的虚拟现实组装环境中证明了它的有效性.

结论:

拟议的低成本系统为工厂的人体姿势识别提供了有效的解决方案.
这项技术可以增强人机协作,提高工作场所的安全性.
该系统的可负担性使得先进的运动捕捉可用于工业应用.

关键词:

在BiLSTM模型中.人类姿势识别技术惯性测量单位是一种惯性测量单位.移动捕捉是用来捕捉运动的.

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