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BlinkListener: "Listen" to Your Eye Blink Using Your Smartphone by Liu, Jialin (author);Li, Dong (author);Wang, Lei (author);Xiong, Jie (author) is a Computer Science article available to read on EtoBox.

What is BlinkListener: "Listen" to Your Eye Blink Using Your Smartphone about?

Eye blink detection plays a key role in many real-life applications such as Human-Computer Interaction (HCI), drowsy driving prevention and eye disease detection. Although traditional camera-based techniques are promising, multiple issues hinder their wide adoption including the privacy concern, strict lighting condition and line-of-sight (LoS) requirements. On the other hand, wireless sensing without a need for dedicated sensors gains a tremendous amount of attention in recent years. Among the wireless signals utilized for sensing, acoustic signals show a unique potential for fine-grained sensing owing to their low propagation speed in the air. Another trend favoring acoustic sensing is the wide availability of speakers and microphones in commodity devices. Promising progress has been achieved in fine-grained human motion sensing such as breathing using acoustic signals. However, it is still very challenging to employ acoustic signals for eye blink detection due to the unique characteristics of eye blink (i.e., subtle, sparse and aperiodic) and severe interference (i.e., from the human target himself and surrounding objects). We find that even the very subtle involuntary head move

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Author

Liu, Jialin (author);Li, Dong (author);Wang, Lei (author);Xiong, Jie (author)

Publisher

Association for Computing Machinery (ACM)

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)