Wearable Multimodal Physiological Sensor-Based Recognition of Pilots’ Mental Workload Using fNIRS, ECG, and Eye-Movement Signals
Effective mental workload recognition is essential for reducing human error and enabling dynamic function allocation in human–machine systems. In this study, a multimodal physiological sensor-based mental workload recognition approach was developed to discriminate among underload, moderate load, and overload using func...