Houtan Jebelli
Title
Cited by
Cited by
Year
EEG-based workers' stress recognition at construction sites
H Jebelli, S Hwang, SH Lee
Automation in Construction 93, 315-324, 2018
1032018
Fall risk analysis of construction workers using inertial measurement units: Validating the usefulness of the postural stability metrics in construction
H Jebelli, CR Ahn, TL Stentz
Safety science 84, 161-170, 2016
982016
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
H Jebelli, CR Ahn, TL Stentz
Journal of Computing in Civil Engineering 30 (3), 04015034, 2016
702016
EEG signal-processing framework to obtain high-quality brain waves from an off-the-shelf wearable EEG device
H Jebelli, S Hwang, SH Lee
Journal of Computing in Civil Engineering 32 (1), 04017070, 2018
632018
Feasibility analysis of heart rate monitoring of construction workers using a photoplethysmography (PPG) sensor embedded in a wristband-type activity tracker
S Hwang, JO Seo, H Jebelli, SH Lee
Automation in construction 71, 372-381, 2016
602016
Measuring workers’ emotional state during construction tasks using wearable EEG
S Hwang, H Jebelli, B Choi, M Choi, SH Lee
Journal of Construction Engineering and Management 144 (7), 04018050, 2018
562018
Automated action recognition using an accelerometer-embedded wristband-type activity tracker
JH Ryu, JO Seo, H Jebelli, SH Lee
Journal of construction engineering and management 145 (1), 04018114, 2019
442019
Mobile EEG-based workers’ stress recognition by applying deep neural network
H Jebelli, MM Khalili, SH Lee
Advances in informatics and computing in civil and construction engineering …, 2019
372019
The validation of gait-stability metrics to assess construction workers' fall risk
H Jebelli, CR Ahn, TL Stentz
Computing in Civil and Building Engineering (2014), 997-1004, 2014
362014
Feasibility Study of a Wristband-Type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status
H Jebelli, B Choi, H Kim, SH Lee
Construction Research Congress 2018, 367-377, 2018
322018
A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multi-Task Learning Algorithms (OMTL).
H Jebelli, MM Khalili, S Lee
IEEE journal of biomedical and health informatics, 2018
292018
A Supervised Learning-Based Construction Workers’ Stress Recognition Using a Wearable Electroencephalography (EEG) Device
H Jebelli, MM Khalili, S Hwang, SH Lee
Construction Research Congress 2018, 40-50, 2018
292018
Wearable sensing technology applications in construction safety and health
CR Ahn, SH Lee, C Sun, H Jebelli, K Yang, B Choi
Journal of Construction Engineering and Management 145 (11), 03119007, 2019
272019
Assessing the effects of slippery steel beam coatings to ironworkers' gait stability
H Kim, CR Ahn, TL Stentz, H Jebelli
Applied ergonomics 68, 72-79, 2018
262018
Feasibility of Field Measurement of Construction Workers’ Valence Using a Wearable EEG Device
H Jebelli, S Hwang, SH Lee
Computing in Civil Engineering 2017, 99-106, 2017
262017
Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units
K Yang, H Jebelli, CR Ahn, MC Vuran
Computing in Civil Engineering 2015, 148-155, 2015
252015
Application of wearable biosensors to construction sites. I: Assessing workers’ stress
H Jebelli, B Choi, SH Lee
Journal of Construction Engineering and Management 145 (12), 04019079, 2019
242019
Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk
B Choi, H Jebelli, SH Lee
Safety science 115, 110-120, 2019
232019
Wearable biosensor and collective sensing–based approach for detecting older adults’ environmental barriers
G Lee, B Choi, H Jebelli, CR Ahn, SH Lee
Journal of Computing in Civil Engineering 34 (2), 04020002, 2020
162020
Application of wearable biosensors to construction sites. II: Assessing workers’ physical demand
H Jebelli, B Choi, SH Lee
Journal of Construction Engineering and Management 145 (12), 04019080, 2019
162019
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Articles 1–20