BLISS: Blinking Low-power Infrared Sensing System



BLISS is a technology that is designed to detect a user's eye blinks and provide them with alerts through vibrations. This system is designed to be low-power, minimal cost, and lightweight, making it an ideal solution for individuals who want to monitor their eye blinking behavior without the need for expensive equipment or complex systems.

Team Members



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Taisuke Miyamoto

Computer Engineering

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Tergel Molom-Ochir

Electrical Engineering

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Sashank Rao

Computer Engineering

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Heta Shah

Electrical Engineering

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Prof. Qiangfei Xia

Advisor

Problem Statement

This Affects You! A significant number of people suffer from sleep-related problems, including insomnia and chronic sleep deprivation, with at least one-third of older adults being affected. In the United States alone, an estimated 60 million Americans suffer from chronic sleep deprivation. Sleep deprivation can lead to a range of problems, including drowsiness during tasks that require high levels of attention, such as driving, which can result in accidents. In 2020, around 700 drowsy-driving deaths were reported in the US. Moreover, the widespread use of electronic devices with screens has led to an increase in ocular symptoms and problems, such as Computer Vision Syndrome (CVS), which affects a significant percentage of engineering students, with 81.9% reported to suffer from this condition.

Specifications

  1. Detect blink frequency of the user to within ±1 blink/min​
  2. Detect blink duration of the user to within 0.1 seconds​
  3. Operate in a stable, indoors lighting environment​
  4. Be unobtrusive to the user when collecting data​
  5. Alert the user when their blink frequency is less than 12 times per minute (average blink frequency is around 12 blinks per minute)​
  6. Alert the user when their average blink duration is longer than 0.5 seconds (average blink duration is around 0.5 seconds)​
  7. Alert the user effectively yet discreetly​
  8. Observe eye safety regulations for IR sensor​

Live Demo!

Slides









Special thanks to Professor Qiangfei Xia for guiding us through developing this product. Thank you to Prof. Gummeson and Prof. Siqueira for evaluating our project and providing invaluable feedback. Special shoutout to our course coordinators and M5 staff for all their help.