The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers

The enhancement of physical activity is highly correlated with the conditions of the built environment. Walking is considered to be a fundamental daily physical activity, which requires an appropriate environment. Therefore, the barriers of the built environment should be identified and addressed. B...

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Autores principales:	Bogyeong Lee, Sungjoo Hwang, Hyunsoo Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	walkability environmental barrier inertial measurement unit (imu) information entropy wearable sensing built environment Medicine R
Acceso en línea:	https://doaj.org/article/083cd0dd30324a5aa1edf716c212e7e3
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id	oai:doaj.org-article:083cd0dd30324a5aa1edf716c212e7e3
record_format	dspace
spelling	oai:doaj.org-article:083cd0dd30324a5aa1edf716c212e7e32021-11-11T16:47:44ZThe Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers10.3390/ijerph1821117271660-46011661-7827https://doaj.org/article/083cd0dd30324a5aa1edf716c212e7e32021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11727https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601The enhancement of physical activity is highly correlated with the conditions of the built environment. Walking is considered to be a fundamental daily physical activity, which requires an appropriate environment. Therefore, the barriers of the built environment should be identified and addressed. Barriers can act as external stimuli for pedestrians, so pedestrians may diversely respond to them. Based on this consideration, this study examines the feasibility of information-entropy-based behavioral analysis for the detection of environmental barriers. The physical responses of pedestrians were collected using an inertial measurement unit (IMU) sensor in a smartphone. After the acquired data were converted to behavioral probability distributions, the information entropy of each grid cell was calculated. The grid cells whereby the participants indicated that environmental barriers were present yielded relatively high information entropy values. The findings of this study will facilitate the design of more pedestrian-friendly environments and the development of diverse approaches that utilize citizens for monitoring the built environment.Bogyeong LeeSungjoo HwangHyunsoo KimMDPI AGarticlewalkabilityenvironmental barrierinertial measurement unit (imu)information entropywearable sensingbuilt environmentMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11727, p 11727 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	walkability environmental barrier inertial measurement unit (imu) information entropy wearable sensing built environment Medicine R
spellingShingle	walkability environmental barrier inertial measurement unit (imu) information entropy wearable sensing built environment Medicine R Bogyeong Lee Sungjoo Hwang Hyunsoo Kim The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
description	The enhancement of physical activity is highly correlated with the conditions of the built environment. Walking is considered to be a fundamental daily physical activity, which requires an appropriate environment. Therefore, the barriers of the built environment should be identified and addressed. Barriers can act as external stimuli for pedestrians, so pedestrians may diversely respond to them. Based on this consideration, this study examines the feasibility of information-entropy-based behavioral analysis for the detection of environmental barriers. The physical responses of pedestrians were collected using an inertial measurement unit (IMU) sensor in a smartphone. After the acquired data were converted to behavioral probability distributions, the information entropy of each grid cell was calculated. The grid cells whereby the participants indicated that environmental barriers were present yielded relatively high information entropy values. The findings of this study will facilitate the design of more pedestrian-friendly environments and the development of diverse approaches that utilize citizens for monitoring the built environment.
format	article
author	Bogyeong Lee Sungjoo Hwang Hyunsoo Kim
author_facet	Bogyeong Lee Sungjoo Hwang Hyunsoo Kim
author_sort	Bogyeong Lee
title	The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
title_short	The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
title_full	The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
title_fullStr	The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
title_full_unstemmed	The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
title_sort	feasibility of information-entropy-based behavioral analysis for detecting environmental barriers
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/083cd0dd30324a5aa1edf716c212e7e3
work_keys_str_mv	AT bogyeonglee thefeasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers AT sungjoohwang thefeasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers AT hyunsookim thefeasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers AT bogyeonglee feasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers AT sungjoohwang feasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers AT hyunsookim feasibilityofinformationentropybasedbehavioralanalysisfordetectingenvironmentalbarriers
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The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers

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