Measurement of Blink Duration Using a Continuous-Wave Radar Sensor and Continuous Wavelet Transform

Jae-Hyun Park, Jun-Ho Jeong, Kyung-Tae Kim

Abstract: Blink duration measurement has important applications such as driver status monitoring, sleep analysis, human-computer interaction, and clinical diagnostics. Conventional sensors for measuring blink duration, such as electrooculography sensor and vision-based sensors, are often limited by high computational requirements, intrusiveness, and sensitivity to lighting conditions. This study proposes a novel approach using a 120 GHz continuous wave (CW) radar sensor combined with continuous wavelet transform (CWT) to non-invasively measure blink duration. The CW radar sensor captures the Doppler shift caused by eyelid movements, and the Morlet wavelet-based CWT processes these signals to accurately detect the opening and closing phases of blinks. The duration of an eye blink was measured by applying signal processing techniques for rising and falling edge detection to the detected eye movements. Experimental validation with a commercial CW radar sensor demonstrated the proposed technique's high accuracy in measuring blink duration, using camera-based measurement as a reference. The results show the potential of this radar-based approach for various applications requiring precise blink duration monitoring.

External IDs:dblp:conf/icsenst/ParkJK24