Paper
27 November 2019 A fast blink-control system based on FPGA
Siwen Cai, Peng Wang, Qiang Zhang, Yuanyuan Chen
Author Affiliations +
Proceedings Volume 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence; 1132116 (2019) https://doi.org/10.1117/12.2547449
Event: The Second International Conference on Image, Video Processing and Artifical Intelligence, 2019, Shanghai, China
Abstract
People have been pursuing fast and convenient methods to control machines. However, the existing human-computer interaction methods still have many shortcomings. We present here a fast blink-control system based on FPGA. The video image processing technologies were utilized to realize the blink-control algorithm and the Verilog hardware description language (Verilog HDL) was taken to develop functional modules on the FPGA. Positioning human eye and recognizing blink were implemented with integral projection method based on gradient operator according to features of eyes. Then, subsequent operations were performed based on judgement results. The designed fast blink-control system was verified on ALTER FPGA development platform. The results showed that the accuracy to detect eye blink (front face, no inclination) was 98% and the average response time of the system was about 413ms, which reached the real-time detection level. Therefore, it has achieved the goal to provide a new control mode which is fast and effective.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siwen Cai, Peng Wang, Qiang Zhang, and Yuanyuan Chen "A fast blink-control system based on FPGA", Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 1132116 (27 November 2019); https://doi.org/10.1117/12.2547449
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KEYWORDS
Field programmable gate arrays

Eye

Video

Detection and tracking algorithms

Image segmentation

Infrared cameras

Image processing

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