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.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tan, F., Wei, Y., Zhou, H., Li, H., Zhong, J. (2022). Intelligent Wheelchair Based on Medical Health Examination. In: Jiang, X. (eds) Machine Learning and Intelligent Communications. MLICOM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-04409-0_11
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DOI: https://doi.org/10.1007/978-3-031-04409-0_11
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