Development of an Integrated System for Motor Control Through Sensing Alcohol, Eye Blink Detection and Temperature Monitoring When Falling Sleep

EasyChair Preprint 10282

Abstract

The development of an integrated system for motor control sensing alcohol, eye blink detection, and temperature monitoring for sleep detection is a promising approach to accurately detect and monitor sleep patterns. This system combines different sensing techniques to gather data on various physiological signals, such as alcohol concentration, eye blinking, and body temperature, which can be used to identify sleep states. The system comprises a microcontroller, a set of sensors, and a data acquisition module that collects and processes the sensory data. The system has been tested extensively in both laboratory and real-world settings, and it has shown a high degree of accuracy in detecting and monitoring sleep patterns. The system's potential applications include medical diagnosis, sleep therapy, and home-based sleep monitoring. Overall, the integrated system is a promising tool for improving the diagnosis and management of sleep disorders, and it has the potential to revolutionize the field of sleep medicine.

Keyphrases: Alcohol detection, Arduino based project, Drowsiness Detection, LM35 sensor, MQ3 sensor, Sleep Detection, Temperature, alcohol detector and sleep detection, eyeblink sensor, monitoring for sleep detection, motor control, temperature monitoring, vehicle control

@booklet{EasyChair:10282,
  author    = {Rajia Sultana and Richard Victor Biswas and Md Inteshar Ishrak},
  title     = {Development of an Integrated System for Motor Control Through Sensing Alcohol, Eye Blink Detection and Temperature Monitoring When Falling Sleep},
  howpublished = {EasyChair Preprint 10282},
  year      = {EasyChair, 2023}}