Behavior understanding based on intention-gait model

Yasushi Yagi; Ikuhisa Mitsugami; Satoshi Shioiri; Hitoshi Habe

doi:10.1007/978-4-431-56535-2_5

Behavior understanding based on intention-gait model

Yasushi Yagi, Ikuhisa Mitsugami, Satoshi Shioiri, Hitoshi Habe

RIEC - Human and Bio Information Systems Division

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (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 language	English
Title of host publication	Horizontal Expansion
Publisher	Springer Japan
Pages	139-172
Number of pages	34
Volume	2
ISBN (Electronic)	9784431565352
ISBN (Print)	9784431565338
DOIs	https://doi.org/10.1007/978-4-431-56535-2_5
Publication status	Published - 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

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10.1007/978-4-431-56535-2_5

Cite this

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title = "Behavior understanding based on intention-gait model",

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.",

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author = "Yasushi Yagi and Ikuhisa Mitsugami and Satoshi Shioiri and Hitoshi Habe",

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T1 - Behavior understanding based on intention-gait model

AU - Yagi, Yasushi

AU - Mitsugami, Ikuhisa

AU - Shioiri, Satoshi

AU - Habe, Hitoshi

PY - 2017/4/20

Y1 - 2017/4/20

N2 - 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.

AB - 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.

KW - Cognitive level estimation

KW - Dementia diagnosis

KW - Dual-task

KW - Eye-head coordination

KW - Gait analysis

KW - Gaze estimation

KW - Group segmentation

KW - Huge data collection

KW - Visual perception

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BT - Horizontal Expansion

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Behavior understanding based on intention-gait model

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Keywords

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