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    EEG Signal-Processing Framework to Obtain High-Quality Brain Waves from an Off-the-Shelf Wearable EEG Device 

    Source: Journal of Computing in Civil Engineering:;2018:;Volume ( 032 ):;issue: 001
    Author(s): Houtan Jebelli; Sungjoo Hwang; SangHyun Lee
    Publisher: American Society of Civil Engineers
    Abstract: Investigating brain waves collected by an electroencephalogram (EEG) can be useful in understanding human psychosocial conditions such as stress, emotional exhaustion, burnout, and mental fatigue. Recently, an off-the-shelf ...
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    Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 008:;page 04021087-1
    Author(s): Yizhi Liu; Mahmoud Habibnezhad; Shayan Shayesteh; Houtan Jebelli; SangHyun Lee
    Publisher: ASCE
    Abstract: Construction workers’ poor mental states can lead to numerous safety and productivity issues. One major trend in construction research is quantitatively evaluating workers’ psychophysiological states. With the advances in ...
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    Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Workers 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Houtan Jebelli; Changbum R. Ahn; Terry L. Stentz
    Publisher: American Society of Civil Engineers
    Abstract: In construction worksites, slips, trips, and falls are major causes of fatal injuries. This fact demonstrates the need for a safety assessment method that provides a comprehensive fall-risk analysis inclusive of the effects ...
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    Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Workers 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Houtan Jebelli; Changbum R. Ahn; Terry L. Stentz
    Publisher: American Society of Civil Engineers
    Abstract: In construction worksites, slips, trips, and falls are major causes of fatal injuries. This fact demonstrates the need for a safety assessment method that provides a comprehensive fall-risk analysis inclusive of the effects ...
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    Noise Reference Signal–Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Gaang Lee; Byungjoo Choi; Houtan Jebelli; Changbum Ryan Ahn; SangHyun Lee
    Publisher: ASCE
    Abstract: Since people in contemporary society spend most of their time interacting with the built environment, there is a growing need to thoroughly understand the quality of human–built environment interaction to improve quality ...
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    Wearable Biosensor and Collective Sensing–Based Approach for Detecting Older Adults’ Environmental Barriers 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 002
    Author(s): Gaang Lee; Byungjoo Choi; Houtan Jebelli; Changbum Ryan Ahn; SangHyun Lee
    Publisher: ASCE
    Abstract: In this rapidly aging society, the mobility of older adults is critical for the prosperity and well-being of communities. Despite such importance, various types of environmental barriers (e.g., steep slopes and uneven ...
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    Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 001
    Author(s): JuHyeong Ryu; JoonOh Seo; Houtan Jebelli; SangHyun Lee
    Publisher: American Society of Civil Engineers
    Abstract: Automated worker action recognition helps to understand the state of workers’ actions, enabling effective management of work performance in terms of productivity, safety, and health issues. A wristband equipped with an ...
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    DSpace software copyright © 2002-2015  DuraSpace
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