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Robot and cloud-assisted multi-modal healthcare system

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Abstract

With the rise of the robot and cloud computing technology, human-centric healthcare service attracts widely attention in order to meet the great challenges of traditional healthcare, especially the limited medical resources. This paper presents a healthcare system based on cloud computing and robotics, which consists of wireless body area networks, robot, software system and cloud platform. This system is expected to accurately measure user’s physiological information for analysis and feedback, which is assisted by the robot integrated with various sensors. In order to improve the practicability of multi-media transmission in the healthcare system, this paper proposes a novel scheme to deliver real-time video contents through an improved UDP-based protocol. Finally, the proposed approach is evaluated with experimental study based on a real testbed.

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Acknowledgments

This work is partially supported by the National Natural Science Foundation of China (No. 61262013), China Postdoctoral Science Foundation (Grant No. 2014M552045) and the Open Fund of Guangdong Province Key Laboratory of Precision Equipment and Manufacturing Technology (PEMT1303).

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Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Yujun Ma & Ning Pan

  2. Computer Network Center, Nanyang Institute of Technology, Nanyang, China

    Yujun Ma

  3. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China

    Jiafu Wan

  4. Mobile Cloud Computing Laboratory, Tongji University, Shanghai, China

    Daqiang Zhang

  5. School of Information and Safe Engineering, Zhongnan University of Economics and Law, Wuhan, China

    Yin Zhang

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  1. Yujun Ma
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  2. Yin Zhang
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  3. Jiafu Wan
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  4. Daqiang Zhang
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  5. Ning Pan
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Correspondence to Ning Pan.

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Ma, Y., Zhang, Y., Wan, J. et al. Robot and cloud-assisted multi-modal healthcare system. Cluster Comput 18, 1295–1306 (2015). https://doi.org/10.1007/s10586-015-0453-9

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  • DOI: https://doi.org/10.1007/s10586-015-0453-9

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