Behavior understanding based on intention-gait model

Yasushi Yagi, Ikuhisa Mitsugami, Satoshi Shioiri, Hitoshi Habe

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Gait is known as one of biometrics, and there have been many studies on gait authentication. In those studies, it is implicitly assumed that the gait of a certain person is always constant. It is, however, untrue in reality; a person usually walks differently according to their mood and physical/mental conditions, which we call "inertial states."Motivated by this fact, we organized the research project "Behavior Understanding based on Intention-Gait Model", whichwas supported by JST-CREST from 2010 to 2017. The goal of this project was to map "gait", in the broad sense of the term, to inertial states such as attention, social factors, and cognitive ability. In this chapter, we provide an overview of the three kinds of estimation technologies considered in this project: attention, social factors, and cognitive ability.

Original languageEnglish
Title of host publicationHorizontal Expansion
PublisherSpringer Japan
Pages139-172
Number of pages34
Volume2
ISBN (Electronic)9784431565352
ISBN (Print)9784431565338
DOIs
Publication statusPublished - 2017 Apr 20

Keywords

  • Cognitive level estimation
  • Dementia diagnosis
  • Dual-task
  • Eye-head coordination
  • Gait analysis
  • Gaze estimation
  • Group segmentation
  • Huge data collection
  • Visual perception

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Behavior understanding based on intention-gait model'. Together they form a unique fingerprint.

  • Cite this

    Yagi, Y., Mitsugami, I., Shioiri, S., & Habe, H. (2017). Behavior understanding based on intention-gait model. In Horizontal Expansion (Vol. 2, pp. 139-172). Springer Japan. https://doi.org/10.1007/978-4-431-56535-2_5