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Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.71 [2012] >
JSIR Vol.71(12) [December 2012] >
| Title: | Hypovigilance detection using energy of electrocardiogram signals |
| Authors: | Arun, S
Sundaraj, Kenneth
Murugappan, M |
| Keywords: | Hypovigilance
Electrocardiogram
Signals
NSF |
| Issue Date: | Dec-2012 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Driver drowsiness and driver inattention are the major
causes for road accidents leading to severe traumas such as physical injuries,
deaths, and economic losses. This necessitates the need for a system that can
alert the driver on time, whenever he is drowsy or inattentive. Previous
research works report the detection of either drowsiness or inattention. In
this work, we aim to develop a system that can detect hypovigilance, which
includes both drowsiness and inattention, using Electrocardiogram (ECG) signals.
Fifteen male volunteers participated in the data collection experiment where
they were asked to drive for two hours at 3 different times of the day (00:00 –
02:00 hrs, 03:00 – 05:00 hrs and 15:00 – 17:00 hrs) when the circadian rhythm
is low. The results indicate that the energy feature of ECG is efficient to
detect hypovigilance with a maximum accuracy of 98%. The two types of
inattention namely visual and cognitive are also analyzed in this work. |
| Page(s): | 794-799 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Source: | JSIR Vol.71(12) [December 2012]
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