Research Article
Intelligent Wheelchair Based on Medical Health Examination
@INPROCEEDINGS{10.1007/978-3-031-04409-0_11, author={Fucong Tan and Yu Wei and Hongzhang Zhou and Honglan Li and Jiacheng Zhong}, title={Intelligent Wheelchair Based on Medical Health Examination}, proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings}, proceedings_a={MLICOM}, year={2022}, month={5}, keywords={Health index Intelligent wheelchair Blood pressure and heart rate STM32 GPS}, doi={10.1007/978-3-031-04409-0_11} }- Fucong Tan
Yu Wei
Hongzhang Zhou
Honglan Li
Jiacheng Zhong
Year: 2022
Intelligent Wheelchair Based on Medical Health Examination
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_11
Abstract
The acceleration of the population ageing and the frequent accidents have caused the rapid growth of the number of the elderly and the disabled in our country. The Traditional Electric Wheelchair can no longer meet the diversified needs of the elderly and the disabled in the new era, therefore, it is necessary to research and develop the intelligent wheelchair according to this demand. In this paper, an intelligent wheelchair based on medical health detection is designed. The system is mainly divided into three parts: lower computer, Web end and mobile end. It is mainly composed of STM32 main control chip, 4g communication module, GPS module, sensor module, alarm module and motor driving module, with the function of detecting human health indicators, after experimental testing, the system can effectively remind obstacle avoidance and detect health indexes such as blood pressure, heart rate, body temperature, PM2.5, temperature and humidity.
