A mobile robot for fall detection for elderly-care

Takuma Sumiya, Yutaka Matsubara, Miyuki Nakano, Midori Sugaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In 2015, the population of people over the age of 65 is 25.0% in Japan. This means that Japan has already become a super-aging society. In such society, the number of elderly people living alone has been also increased. For such people, a fall accident is serious because it can lead to serious injury or death. Researches and services to monitor behaviours of such people have been proposed. For example, by monitoring the status of use of home appliances, something unusual happened to them can be predicted. However, such systems cannot recognize the detailed behaviours like fall. Surveillance cameras have been introduced only outside the house because of the privacy issues. In this paper, we propose a mobile robot to detect human fall and report it to their observers. The mobile robot consists of a household mobile robot (Yujin Robot's Kobuki), a sensor (Microsoft's Kinect), and a computer (PC) to detect a human and control the robot. For simplicity of the robot and accurate fall detection, the sensor is installed on the robot to follow the target harmoniously. Thus, the sensor can move around with the robot to minimize blind area. The results of our experiments show that improvement of up to 80% in fall detection rate compared to a conventional monitoring technique using position-fixed sensors. Finally, we discuss the capabilities and future works of the robot.

Original languageEnglish
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages870-880
Number of pages11
Volume60
Edition1
DOIs
Publication statusPublished - 2015
Event19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore
Duration: 2015 Sep 72015 Sep 9

Other

Other19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015
CountrySingapore
Period15/9/715/9/9

Keywords

  • Human detection
  • Mobile robot
  • Welfare

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Sumiya, T., Matsubara, Y., Nakano, M., & Sugaya, M. (2015). A mobile robot for fall detection for elderly-care. In Procedia Computer Science (1 ed., Vol. 60, pp. 870-880). Elsevier. https://doi.org/10.1016/j.procs.2015.08.250