Research graph
References from A Bio-Inspired Physiological–Behavioral Fusion Method for Human-Factor Risk Assessment of Imported Unmanned Intelligent System Operators in Port-Security Scenarios. Local targets link to admitted publications; unresolved targets remain external evidence.
Model predictive control for multimodal intelligent transportation systems: A cross-domain review of ground, rail, low-altitude, and marine applications
2026 · External reference
10.20944/preprints202407.1957.v1
10.20944/preprints202407.1957.v1 · External reference
10.3390/drones8110640
10.3390/drones8110640 · External reference
10.3390/jmse9040385
10.3390/jmse9040385 · External reference
10.3390/drones9030165
10.3390/drones9030165 · External reference
Safety risk factors of urban logistics drone delivery in the context of the low-altitude economy
2025 · External reference
Detecting Driver Drowsiness Based on Sensors: A Review
10.3390/s121216937 · 2012 · External reference
10.3390/s22052069
10.3390/s22052069 · External reference
10.3390/s21010056
10.3390/s21010056 · External reference
10.3390/s21113786
10.3390/s21113786 · External reference
10.3390/app13021200
10.3390/app13021200 · External reference
10.3390/s21165558
10.3390/s21165558 · External reference
10.3390/s21082873
10.3390/s21082873 · External reference
10.3390/s20051474
10.3390/s20051474 · External reference
A bio-inspired multi-modal state evaluation and game-theoretic coordination approach for active safety in intelligent public transport systems
2026 · External reference
10.3390/s21237921
10.3390/s21237921 · External reference
10.3390/s22031100
10.3390/s22031100 · External reference
10.3390/app14073016
10.3390/app14073016 · External reference
10.3390/app12094689
10.3390/app12094689 · External reference
10.3390/app11199195
10.3390/app11199195 · External reference
10.3390/s19112574
10.3390/s19112574 · External reference
10.3390/s21093155
10.3390/s21093155 · External reference
10.3390/s23041807
10.3390/s23041807 · External reference
A systems engineering framework for real-time user error prediction and adaptive user experience control
2026 · External reference
10.3390/app15169018
10.3390/app15169018 · External reference
A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques
10.1109/access.2021.3085502 · 2021 · External reference
Driver Fatigue Detection Systems: A Review
10.1109/tits.2018.2868499 · 2019 · External reference
Enhanced Human–Robot Interface with Operator Physiological Parameters Monitoring and 3D Mixed Reality
10.1109/access.2023.3268986 · 2023 · External reference
10.3390/s25030812
10.3390/s25030812 · External reference
10.3390/s24031041
10.3390/s24031041 · External reference
10.3390/info16010064
10.3390/info16010064 · External reference
Assessing Operator Stress in Collaborative Robotics: A Multimodal Approach
10.1016/j.apergo.2024.104418 · 2025 · External reference
ECG, Respiration, fNIRS, and Eye Tracking for Stress and Mental Workload Monitoring in Human-Machine Interaction
10.1109/access.2025.3588384 · 2025 · External reference
10.3390/mti9090089
10.3390/mti9090089 · External reference
Advancing Aviation Safety Through Machine Learning and Psychophysiological Data: A Systematic Review
10.1109/access.2024.3349495 · 2024 · External reference
A Review of Physiological Measures for Mental Workload Assessment in Aviation: A State-of-the-Art Review of Mental Workload Physiological Assessment Methods in Human-Machine Interaction Analysis
10.1017/aer.2023.101 · 2024 · External reference
An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors
10.3390/biomedinformatics4020064 · 2024 · External reference
Assessing Operator Stress in Collaborative Robotics: A Multimodal Approach
10.1016/j.apergo.2024.104418 · ExternalCitation · doi-reference
A Review of Physiological Measures for Mental Workload Assessment in Aviation: A State-of-the-Art Review of Mental Workload Physiological Assessment Methods in Human-Machine Interaction Analysis
10.1017/aer.2023.101 · ExternalCitation · doi-reference
A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques
10.1109/access.2021.3085502 · ExternalCitation · doi-reference
Enhanced Human–Robot Interface with Operator Physiological Parameters Monitoring and 3D Mixed Reality
10.1109/access.2023.3268986 · ExternalCitation · doi-reference
Advancing Aviation Safety Through Machine Learning and Psychophysiological Data: A Systematic Review
10.1109/access.2024.3349495 · ExternalCitation · doi-reference
ECG, Respiration, fNIRS, and Eye Tracking for Stress and Mental Workload Monitoring in Human-Machine Interaction
10.1109/access.2025.3588384 · ExternalCitation · doi-reference
Driver Fatigue Detection Systems: A Review
10.1109/tits.2018.2868499 · ExternalCitation · doi-reference
10.20944/preprints202407.1957.v1
10.20944/preprints202407.1957.v1 · ExternalCitation · doi-reference
10.3390/app11199195
10.3390/app11199195 · ExternalCitation · doi-reference
10.3390/app12094689
10.3390/app12094689 · ExternalCitation · doi-reference
10.3390/app13021200
10.3390/app13021200 · ExternalCitation · doi-reference
10.3390/app14073016
10.3390/app14073016 · ExternalCitation · doi-reference
10.3390/app15169018
10.3390/app15169018 · ExternalCitation · doi-reference
An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors
10.3390/biomedinformatics4020064 · ExternalCitation · doi-reference
10.3390/drones8110640
10.3390/drones8110640 · ExternalCitation · doi-reference
10.3390/drones9030165
10.3390/drones9030165 · ExternalCitation · doi-reference
10.3390/info16010064
10.3390/info16010064 · ExternalCitation · doi-reference
10.3390/jmse9040385
10.3390/jmse9040385 · ExternalCitation · doi-reference
10.3390/mti9090089
10.3390/mti9090089 · ExternalCitation · doi-reference
Detecting Driver Drowsiness Based on Sensors: A Review
10.3390/s121216937 · ExternalCitation · doi-reference
10.3390/s19112574
10.3390/s19112574 · ExternalCitation · doi-reference
10.3390/s20051474
10.3390/s20051474 · ExternalCitation · doi-reference
10.3390/s21010056
10.3390/s21010056 · ExternalCitation · doi-reference
10.3390/s21082873
10.3390/s21082873 · ExternalCitation · doi-reference
10.3390/s21093155
10.3390/s21093155 · ExternalCitation · doi-reference
10.3390/s21113786
10.3390/s21113786 · ExternalCitation · doi-reference
10.3390/s21165558
10.3390/s21165558 · ExternalCitation · doi-reference
10.3390/s21237921
10.3390/s21237921 · ExternalCitation · doi-reference
10.3390/s22031100
10.3390/s22031100 · ExternalCitation · doi-reference
10.3390/s22052069
10.3390/s22052069 · ExternalCitation · doi-reference
10.3390/s23041807
10.3390/s23041807 · ExternalCitation · doi-reference
10.3390/s24031041
10.3390/s24031041 · ExternalCitation · doi-reference
10.3390/s25030812
10.3390/s25030812 · ExternalCitation · doi-reference
