Behavior prediction for several seconds using human body model and non-contact sensor

Yosuke Kimura, Akira Mita

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


Based on social background such as aging and diversification of individual's lives, we propose the concept of Biofied building. The Biofied building is a concept that provides a safe, secure and comfortable space for residents by using small robots. The small robots used in the Biofied building sense the human position and motion. However, in the current system it is difficult to prevent accidents such as falls. The robots are not designed not disturb residents. Therefore, in this research, in order to realize more natural space control of the robot, the purpose is to incorporate motion prediction in the system in addition to motion recognition. Many conventional motion prediction methods use RNN (Recurrent Neural Networks), which is considered to be difficult to implement due to the necessity of big data and the large calculation cost. Furthermore, in RNN, it was a problem that physical constraints of the human body were not taken into consideration. Therefore, this study aims to propose a simple motion prediction method using a human body model based on dynamics.

Original languageEnglish
Title of host publicationBioinspiration, Biomimetics, and Bioreplication IX
EditorsRaul J. Martin-Palma, Mato Knez, Akhlesh Lakhtakia
ISBN (Electronic)9781510625853
Publication statusPublished - 2019 Jan 1
EventBioinspiration, Biomimetics, and Bioreplication IX 2019 - Denver, United States
Duration: 2019 Mar 42019 Mar 5

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceBioinspiration, Biomimetics, and Bioreplication IX 2019
Country/TerritoryUnited States


  • Behavior Prediction
  • Human body model
  • Living Space

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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