文章基本信息

标题：Human Arm Motion Capture using Gyroscopic Sensors
本地全文：下载
作者：Arun Fabian Panaite ; Monica Leba ; Marius Leonard Olar 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2021
卷号：343
页码：1-6
DOI：10.1051/matecconf/202134308007
语种：English
出版社：EDP Sciences
摘要：By using the most rudimentary microcontroller chips, that receive data from sensors, and transmit the data to a computer system, thorough a virtual serial port, motion of many objects, bodies and joints can be captured. Capturing the motion and reproducing it live is not the only destination for the data usage. Recording and studying the motion data, can reduce a lot of work in a wide range of domains. Using the simplest methods to capture the data, also means making it so widely accessible for learning, editing and also developing systems that use very little processing power, granting data access for the less efficient computers. We propose using the MPU-6050 MEMS sensor in a dual instance, and the Arduino UNO microcontroller, connected to a computer for data acquisition, to capture the motion of a human arm, and reproduce it in a projected environment. Other experiments, conducted by other researchers and developers have used a higher number of sensors, and the data acquisition and recording systems were much more complex, but our research reduced the number of sensors to just two. One of the high impact innovations brought by this system, in particular, is that we’ve virtually hooked the end of one sensor to the tip of the other, creating a virtual motion chain.