Huang et al., 2023 - Google Patents

Feasibility Analysis of Hybrid Kinematic-Electroencephalogram Signal to Assess the Safety Interventions on the Construction Site

Huang et al., 2023

Document ID
8016289787416753984
Author
Huang H
Hu H
Xu F
Zhang Z
Publication year
Publication venue
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

External Links

Snippet

Unsafe behaviors are the leading cause of injuries and fatalities in the construction industry and have been the focus and challenge of construction safety management. Implementing accurate behavioral interventions (alerts) and corrections to reduce unsafe behaviors is the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer

Similar Documents

Publication Publication Date Title
Jeon et al. Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality
Kim et al. Predicting workers’ inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment
Kim et al. Identifying safety hazards using collective bodily responses of workers
Wang et al. Detecting and measuring construction workers' vigilance through hybrid kinematic-EEG signals
Newaz et al. A review and assessment of technologies for addressing the risk of falling from height on construction sites
Cheng et al. A systematic review of eye-tracking studies of construction safety
Li et al. Quantification study of working fatigue state affected by coal mine noise exposure based on fuzzy comprehensive evaluation
Tsai Applying physiological status monitoring in improving construction safety management
Shayesteh et al. Workers’ trust in collaborative construction robots: EEG-based trust recognition in an immersive environment
Jebelli et al. Multi-level assessment of occupational stress in the field using a wearable EEG headset
Wang et al. A CNN-based personalized system for attention detection in wayfinding tasks
Jeon et al. Wearable EEG-based construction hazard identification in virtual and real environments: A comparative study
Jiang et al. EEG-based analysis for pilots’ at-risk cognitive competency identification using RF-CNN algorithm
Shayesteh et al. Evaluating the Feasibility of Personalized Health Status Feedback to Enhance Worker Safety and Well-Being at Construction Jobsites
Huang et al. Feasibility Analysis of Hybrid Kinematic-Electroencephalogram Signal to Assess the Safety Interventions on the Construction Site
Wei et al. Muscle activation visualization system using adaptive assessment and forces-EMG mapping
Hussain et al. Exploring construction workers' attention and awareness in diverse virtual hazard scenarios to prevent struck-by accidents
Zhou et al. Weighing Votes in Human–Machine Collaboration for Hazard Recognition: Inferring a Hazard-Based Perceptual Threshold and Decision Confidence from Electroencephalogram Wavelets
Cho et al. Detection of COVID-19 epidemic outbreak using machine learning
Boukhechba et al. Physiological changes over the course of cognitive bias modification for social anxiety
Marri et al. Analyzing origin of multifractality of surface electromyography signals in dynamic contractions
CN111723869A (en) Special personnel-oriented intelligent behavior risk early warning method and system
Chen et al. Pre-service fatigue screening for construction labor through hybrid kinematic-EEG signal processing and workload assessments
Song et al. Probing epileptic disorders with lightweight neural network and EEG's intrinsic geometry
Al-Rayes et al. Smoke Detectors Using ANN