L-IN EYE · 2022–2024
Human-state monitoring system
A research prototype for fatigue and attention monitoring through ocular, facial and operating-state signals.
Project Direction
L-IN EYE develops a multi-scenario fatigue and attention monitoring workflow around ocular features, facial motion and operating-state information. The system connects sensing hardware, feature extraction, state assessment, user interface and alert output.
Multi-Scenario Monitoring
Operator attention and fatigue during long-duration remote missions.
Human-state awareness for high-workload cockpit and support roles.
Fatigue and attention monitoring within the intelligent-mobility safety stack.
Continuous observation for production and equipment-control environments.
Sensing to Intervention
Feature Recognition
The research route combines facial and ocular landmark localisation with eye-motion features and incremental model updates. The aim is a lightweight recognition workflow suited to real-time operator monitoring.
Key regions are located before detailed ocular features are extracted.
Fixation, blink and eye-motion patterns form the basis of state assessment.
Model updates support continued adaptation across users and scenarios.
The system direction emphasises compact feature processing for operator-state analysis.
Imaging Hardware
The hardware concept includes monocular infrared and dual-depth variants. A coated optical element and 940 nm narrow-band filter are used to manage glare and improve imaging consistency under strong backlight.
2023–2024
Initial project structure and application scope.
Overall sensing and control architecture.
Central control and data workflow.
Monitoring interface and recognition workflow.
System-level operation and application trials.
Connected knowledge
