Abstract
Sophisticated mathematical algorithms (such as differencing, thresholding, aggregation and statistical analysis of skin colours) are used to compare successive frames of computer-captured images of the face. From these, changes in state of the eyes are determined and are used to detect blinks. A recognition performance of 83.74±0.03% is achieved over five subjects with a low rate of false positives 2.71±0.01%. A logical decision rule identifies purposeful blinks and applies them to control either a custom-designed communication package or an external device.
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Burke, D., Ward, T. & de Paor, A. Image processing used to harness blinking as a channel of communication and control for physically disabled people. Med. Biol. Eng. Comput. 39, 285–287 (2001). https://doi.org/10.1007/BF02345281
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DOI: https://doi.org/10.1007/BF02345281