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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References
Xiao, R., Zhang, Y.: Research and Exploration of Smart Wheelchairs. Shanghai Medical College of Health, Shanghai (2021)
Xiang, Z.: Research on BCI Human-Machine Interface Technology of Smart Wheelchair. Tianjin University, Tianjin (2007)
Bourhis, G., Hom, O., Habert, O., Pruski, A.: An autonomous vehicle for people with motor disabilities. IEEE Robot. Autom. 8, 20–28 (2001)
Mazo, M.: The research group of the SIAMO project, “Anintegral system for assistedmobility”. IEEE Robot. Automat. 8, 46–56 (2001)
Chujie, S.: Research on Intelligent Wheelchair Motion Control and Automatic Obstacle Avoidance System. Hubei University of Technology, Hubei (2020)
Zhi, Q.: Research on the Control System of Smart Wheelchair. Harbin Engineering University, Harbin (2012)
Xiao, Q.: Design and Research of Voice Interaction System for Smart Wheelchair Bed. Tianjin University of Technology, Tianjin (2021)
Kui, Z.: Research on Intelligent Wheelchair Control System. Graduate Office of Anhui University of Science and Technology, Anhui (2018)
Xiaohong, C., Hong, P., Feifei, B.: Research on the System Structure of Smart Wheelchairs. Shaanxi Institute of Clothing Engineering, Shaanxi (2019)
Biyao, S.: Hardware Design and Control System of Smart Wheelchair Based on STM32. Nanjing Normal University, Nanjing (2018)
Shuai, S.: Intelligent Wheelchair Navigation Based on Information Fusion. Chongqing University of Posts and Telecommunications, Chongqing (2011)
Lu, F.: Go to the Chinese University of Hong Kong to conduct collaborative research on robot experiments. Int. Acad. Trends 4 (2006)
Lin, J., Chang, F., Chen, D., Qiu, B., Jia, M., Meng, Y.: Multifunctional self-service smart wheelchair. School of Electronics and Information Engineering. Liaoning University of Science and Technology, Liaoning (2021)
Bojing, M., Xiaodong, X.: Design of an Outdoor Monitoring System for Electric Wheelchairs Based on STM32. Zhejiang University of Science and Technology, Hangzhou, Zhejiang (2020)
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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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