An approach to categorization analysis for human motion by Kinect and IMU

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

2 Citations (Scopus)

Abstract

The field of human motion analysis has researched with designing the rehabilitation robot system. In the present, there are many robot systems dealing with the human motion but they are heavy and hard to use simply at home. Moreover they especially have a particular purpose focused on the single human motion then the usability of these systems is low and fragmentary about a variety of motions. To classify the various motions, we propose the approach to categorization analysis for human motion by using information of the Kinect and IMUs. It is focused on the human motion which is classified into the walking, standing up and down, and falling down motion. The two COG points of the body from the sensing results are defined as the new indexes such as distance and incline, which are the indicator to classify the human motion. To verify the verification, the theoretical human model is designed and the experiment for the various human motions is carried out by using Kinect and IMU.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages6158-6162
Number of pages5
ISBN (Electronic)9781509034741
DOIs
Publication statusPublished - 2016 Dec 21
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 2016 Oct 242016 Oct 27

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
CountryItaly
CityFlorence
Period16/10/2416/10/27

Fingerprint

Robots
Patient rehabilitation
Experiments
Motion analysis

Keywords

  • Human motion
  • Hybrid sensor application
  • Motion detection
  • Motion estimation
  • Sensor system and application

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, S., Nozaki, T., & Murakami, T. (2016). An approach to categorization analysis for human motion by Kinect and IMU. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 6158-6162). [7793391] IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793391

An approach to categorization analysis for human motion by Kinect and IMU. / Kim, Seonghye; Nozaki, Takahiro; Murakami, Toshiyuki.

Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 6158-6162 7793391.

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

Kim, S, Nozaki, T & Murakami, T 2016, An approach to categorization analysis for human motion by Kinect and IMU. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793391, IEEE Computer Society, pp. 6158-6162, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 16/10/24. https://doi.org/10.1109/IECON.2016.7793391
Kim S, Nozaki T, Murakami T. An approach to categorization analysis for human motion by Kinect and IMU. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 6158-6162. 7793391 https://doi.org/10.1109/IECON.2016.7793391
Kim, Seonghye ; Nozaki, Takahiro ; Murakami, Toshiyuki. / An approach to categorization analysis for human motion by Kinect and IMU. Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. pp. 6158-6162
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