Non-contact, real-time eye blink detection with capacitive sensing
Mengxi Liu, Sizhen Bian, Paul Lukowicz

TL;DR
This paper presents a novel non-contact, real-time eye blink detection method using capacitive sensing integrated into glasses, achieving high accuracy and low power consumption for wearable applications.
Contribution
It introduces a low-cost, low-power capacitive sensing prototype embedded in glasses for accurate, real-time eye blink detection without contact.
Findings
Average precision of 92%
Average recall of 94%
Effective in five different scenarios
Abstract
This work described a novel non-contact, wearable, real-time eye blink detection solution based on capacitive sensing technology. A low-cost and low-power consumption capacitive sensing prototype was developed and deployed on a pair of standard glasses with a copper electrode attached to the glass frame. The eye blink action will cause the capacitance variation between the electrode and the eyelid. Thus by monitoring the capacitance variation caused oscillating frequency shift signal, the eye blink can be abstracted by a simple comparison of the raw frequency signal with a customized threshold. The feasibility and robustness of the proposed solution were demonstrated in five scenarios performed by eight volunteers with an average precision of 92\% and recall of 94\%.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
