Folgen
Houtan Jebelli
Titel
Zitiert von
Zitiert von
Jahr
EEG-based workers' stress recognition at construction sites
H Jebelli, S Hwang, SH Lee
Automation in Construction 93, 315-324, 2018
3272018
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
2302019
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
1952018
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
1742018
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
1632016
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
1502016
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
1422019
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
1352019
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
1242019
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
1162016
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
1082019
Brain-computer interface for hands-free teleoperation of construction robots
Y Liu, M Habibnezhad, H Jebelli
Automation in Construction 123, 103523, 2021
1072021
Brainwave-driven human-robot collaboration in construction
Y Liu, M Habibnezhad, H Jebelli
Automation in Construction 124, 103556, 2021
1062021
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
932018
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
892018
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
792019
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
762018
Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
G Lee, B Choi, H Jebelli, SH Lee
Journal of Building Engineering 42, 102824, 2021
722021
Advances in Informatics and Computing in Civil and Construction Engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management
I Mutis, T Hartmann
Springer, 2018
722018
Assessing occupational risk of heat stress at construction: A worker-centric wearable sensor-based approach
S Shakerian, M Habibnezhad, A Ojha, G Lee, Y Liu, H Jebelli, SH Lee
Safety science 142, 105395, 2021
642021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20