Explainable Prediction of Pedestrians' Distress in the Urban Built Environment-Reference-Cited by-同舟云学术

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Explainable Prediction of Pedestrians' Distress in the Urban Built Environment

Published:2022-10-31 Issue: Volume: Page:
ISSN:
Container-title:2022 56th Asilomar Conference on Signals, Systems, and Computers
language:
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Author:

Kim Jinwoo¹,Yang Dongqing¹,Nirjhar Ehsanul Haque¹,Ahn Changbum Ryan²,Chaspari Theodora¹

Affiliation:

1. Texas A&M University College Station,Department of Computer Science and Engineering,Texas

2. Seoul National University Seoul,Department of Architecture / Architectural Engineering,South Korea

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051833/10051818/10052038.pdf?arnumber=10052038

Reference22 articles.

1. Saliency Detection Analysis of Pedestrians’ Physiological Responses to Assess Adverse Built Environment Features

2. Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments

3. Wearable Biosensor and Hotspot Analysis–Based Framework to Detect Stress Hotspots for Advancing Elderly’s Mobility

4. The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods

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