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Showing results 1 to 6 of 6

Issue Date	Title / Author(s) / Citation	File	Altmetrics
2016-08	Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit Yang, Kanghyeok; Ahn, Changbum R.; Vuran, Mehmet C.; Aria, Sepideh S. Automation in Construction, Vol.68, pp.194-202	DOI
2017	Effects of Physical Disorders in Neighborhoods on Pedestrians' Physiological Responses Bisadi, Mohammad; Kim, Hyunsoo; Ahn, Changbum R.; Nam, Yunwoo COMPUTING IN CIVIL ENGINEERING 2017: SMART SAFETY, SUSTAINABILITY, AND RESILIENCE, pp.183-190
2020	Can Pedestrians' Physiological Signals Be Indicative of Urban Built Environment Conditions? Kim, Jinwoo; Yadav, Megha; Chaspari, Theodora; Winslow, Jane F.; Ahn, Changbum R. CONSTRUCTION RESEARCH CONGRESS 2020: INFRASTRUCTURE SYSTEMS AND SUSTAINABILITY, pp.791-799
2020	A Hybrid CNN-LSTM Model for Detecting Excessive Load Carrying from Workers' Body Movements Lee, Hoonyong; Yang, Kanghyeok; Kim, Namgyun; Ahn, Changbum R. CONSTRUCTION RESEARCH CONGRESS 2020: COMPUTER APPLICATIONS, pp.1137-1145
2020-01	Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments Kim, Jinwoo; Yadav, Megha; Chaspari, Theodora; Ahn, Changbum R. Advanced Engineering Informatics, Vol.43, p. 101035	DOI
2020-12	Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field Lee, Hoonyong; Yang, Kanghyeok; Kim, Namgyun; Ahn, Changbum R. Automation in Construction, Vol.120, p. 103390	DOI

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