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Design of Elderly Care System Integrated with SLAM Algorithm

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Security with Intelligent Computing and Big-data Services (SICBS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 895))

Abstract

Currently, China has entered the aging society, and the problems of elderly care have been focused by the whole society. In order to help the young people to take care of the elderly, a care service system integrated with SLAM algorithm was designed. This system includes four parts: ZigBee networking equipments, robot, cloud server and Andriod APP. It makes the robot based on SLAM algorithm achieve indoor navigation and map building. And it provides convenience for the disabled people, monitors the environment security information in real time and shows the physical data of the elderly, which can help young people who work outside master the physical healthy conditions of the elderly who are at home.

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Acknowledgements

This work is supported by Guangxi Cooperative Innovation Center of cloud computing and Big Data under Grant no. YD16515 and Student’s Platform for Innovation and Entrepreneurship Training Program under Grant no. 201810595038.

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Authors and Affiliations

  1. Guilin University of Electronic Technology, Guilin, China

    Jun-Yan Chen & Long Huang

Authors
  1. Jun-Yan Chen
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  2. Long Huang
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Corresponding author

Correspondence to Long Huang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Ching-Nung Yang

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Sheng-Lung Peng

  3. University of Canberra, Canberra, ACT, Australia

    Lakhmi C. Jain

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Chen, JY., Huang, L. (2020). Design of Elderly Care System Integrated with SLAM Algorithm. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_40

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