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Landscape Architecture Frontiers

Landsc. Archit. Front.    2019, Vol. 7 Issue (2) : 22-37     https://doi.org/10.15302/J-LAF-20190203
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APPLICATION OF WEARABLE CAMERAS IN STUDYING INDIVIDUAL BEHAVIORS IN BUILT ENVIRONMENTS
Zhaoxi ZHANG1, Ying LONG2()
1. Research Assistant at School of Architecture, Tsinghua University; Master in Architecture, Tongji University
2. Special Researcher and Doctoral Supervisor at School of Architecture, Tsinghua University
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Abstract

With the advent of the Fourth Industrial Revolution, people have begun to explore the potential for new technologies and new devices in studying the relationship between human behavior and urban design. The emergence of wearable cameras offers more possibilities for monitoring individual behavior in built environments as a kind of “lifelog.” This article explores the applications of wearable cameras in studying the relationship between individual behavior and built environments. Using manual image identification, image recognition with Computer Vision Application Programming Interface (API), and color calculation in Matlab, this study analyzed 8,598 photos recording the volunteer’s behaviors and activities during a week. Based on high-accuracy manual image identification results, the research analyzed the volunteer’s behavior, time use, movement path, and experiencing scenes. The study showed that the big data base of images collected by the wearable cameras contained rich individual activities and spatiotemporal information that could be used to effectively describe the individual behavior in space and further contribute to the study of the relationship between individual behaviors and built environments.

Keywords Wearable Device      Spatiotemporal Behavior      Lifelog      Quantified Self      Big Data of Pictures     
Corresponding Authors: Ying LONG   
Issue Date: 14 May 2019
 Cite this article:   
Zhaoxi ZHANG,Ying LONG. APPLICATION OF WEARABLE CAMERAS IN STUDYING INDIVIDUAL BEHAVIORS IN BUILT ENVIRONMENTS[J]. Landsc. Archit. Front., 2019, 7(2): 22-37.
 URL:  
http://journal.hep.com.cn/laf/EN/10.15302/J-LAF-20190203
http://journal.hep.com.cn/laf/EN/Y2019/V7/I2/22
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