使用眨眼的莫尔斯电码检测器和解码器

S. M, Namrata Kolkar, Suman G S, Keerti D Kulkarni
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引用次数: 4

摘要

与外界或看护人的沟通是残疾人面临的主要挑战之一。在这项工作中,作者提出了一种实时算法,从实时摄像机的一系列眨眼中检测摩尔斯电码。该算法利用眼宽高比(EAR)检测眼部标志并估计睁眼程度。这款低成本的软件根据眼睛闭上或睁开的持续时间精确解码莫尔斯电码,然后将其翻译成英语。因此,该系统旨在为残疾人提供另一种通信形式,并传达机密信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morse Code Detector and Decoder using Eye Blinks
Communication with the outside world or the caretakers is one of the major challenges for the people with disabilities. In this work, the authors propose a realtime algorithm to detect morse code from the eye blinks in a series from a live camera. The proposed algorithm detects eye landmarks and estimates the level of eye-opening using eye aspect ratio (EAR). The low-cost software decodes morse code precisely based on the duration of the eyes closed or opened which in turn is translated to English Language. So, this system is intended to provide an alternative form of communication for people with disabilities and to convey confidential messages.
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