@inproceedings{05af8b005274434084b167e6d7738b44,
title = "The design of low-load human flexibility test system",
abstract = "Objective To realize the acquisition of the response time, the movement frequency and the trajectory of the human at a low load, the human flexibility test system is designed. Methods The NodeMCU is used as the node controller in the signal acquisition. And infrared ranging sensor is used to collect data, which is transmitted by TCP protocol to smart phone or tablet computer, while the high-power router is used to ensure the signal coverage of 50 m. Results The designed system can realize the acquisition of the response time, movement frequency and movement trajectory of the human during the movement. Conclusions Low-load human flexibility test system is a flexible and stable method to simulate different types of training and analysis, and it has a broad prospect in the agile training and rehabilitation training for athletes and soldiers.",
keywords = "Eclipse, Flexibility, Infrared sensor",
author = "Yichao Du and Baihai Zhang and Yuhong Shen and Chenming Li",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 17th International Conference on Man–Machine–Environment System Engineering, MMESE 2017 ; Conference date: 21-10-2017 Through 23-10-2017",
year = "2018",
doi = "10.1007/978-981-10-6232-2_38",
language = "English",
isbn = "9789811062315",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "323--329",
editor = "Shengzhao Long and Dhillon, {Balbir S}",
booktitle = "Man–Machine–Environment System Engineering - Proceedings of the 17th International Conference on MMESE",
address = "Germany",
}