HRV Analyzer based Driver Fatigue Detection Algorithm - LabView Simulation

Authors

  • Prashrita Kaushal  M.Tech (Electronics Engineering), University of Allahabad, Uttar Pradesh, India

Keywords:

Abstract

Driver fatigue is one of the key causes of car accidents in the world. Various causes for drowsiness or fatigue include increased stress levels, less sleep, irregular sleep pattern, drinking alcohol, long routes, etc. Driver fatigue can be detected by monitoring eyelid movement through image analysis, variation in speed, or through detecting head tilt or yawning of the driver. Driver fatigue can be detected more accurately by monitoring ECG signals. An intelligent sensor network integrated into the vehicle can be developed that utilizes a pulse sensor for ECG monitoring. This acquired ECG signal can be processed to determine heart rate and further analyzed to determine the drowsiness in the driver. This paper presents a software simulation developed using the LabView tool for analyzing ECG signals.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-10-30

Issue

Volume 6, Issue 5, September-October-2019

Section

Research Articles

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Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prashrita Kaushal, " HRV Analyzer based Driver Fatigue Detection Algorithm - LabView Simulation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.327-337, September-October-2019.