A non-invasive approach to detect drowsiness in a monotonous driving environment

Muhammad Awais, Nasreen Badruddin, Micheal Drieberg

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

1 Citation (Scopus)


Many researchers have found that one of the major contributing factors of road accidents is driver drowsiness. Heart Rate Variability (HRV) is a non-invasive method to observe the influence of autonomic nervous system (ANS) of the human body. The ANS consists of parasympathetic and sympathetic nervous activities and its relation to driver drowsiness is observed by means of HRV analysis. In this study, twenty-two subjects participated in an experiment based on simulated driving environment. The temporal changes for low frequency (LF), high frequency (HF) and LF/HF ratio are observed. LF and HF spectral powers show significant changes from alert to drowsy state. Paired t-test is used to find the statistical significance. The analysis shows that there is a significant (p<0.01) decrease in the LF/HF ratio when subject is in drowsy state. The observations also conclude with significance that LF decreases (p<0.001) and HF increases (p<0.05) from alert to drowsy state. This study shows very encouraging results that can be used to prevent drowsiness related accidents.

Original languageEnglish
Title of host publicationTENCON 2014 - 2014 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479940752
Publication statusPublished - 26 Jan 2015
Event2014 IEEE Region 10 Conference, TENCON 2014 - Bangkok, Thailand
Duration: 22 Oct 201425 Oct 2014

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference2014 IEEE Region 10 Conference, TENCON 2014


  • Autonomic Nervous System
  • Heart Rate Variability
  • High Frequency
  • Low Frequency


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