|
Smart Monitoring System of Stress and Drowsiness Using Sensors on IoT
|
|
| Author:
|
PRADEEP SUDHAKARAN, C. MALATHY, B. SATHVIK, M. SAI SANDEEP
|
| Abstract:
|
The dimension of worry for drivers will have a more prominent effect while driving. Driver stress may
influence driver execution and makes numerous mishaps. In some cases numerous blameless lives are
lost due to driver feeling of anxiety. Stress is something we can't ready to physically observe and
recognize, hence extraordinary kinds of sensors like heartbeat, ECG, understudy expansion, circulatory
strain, breath rate, skin reaction are utilized to foresee feeling of anxiety of the driver and driver
conduct while driving. Driver conduct parameters like ECG, Eye flickering, speed, controlling point, and
turn flag can be checked while driving. These parameters may be useful to eyewitness driver's
diversions also. In this task, to defeat the test we have proposed genuine information gathering, IoT
based sharing and information examination. To acquire driver stress we are intending to coordinate
heartbeat and eye flicker sensors to anticipate the feeling of anxiety and languor of the driver amid
driving. Progressively these sensors would be installed in the driver glass. The driver information are
gathered from the sensors transmitted to the microcontroller and utilizing RS232 link the genuine and
dynamic driver information are transmitted to the framework. The ongoing information from the COM
port are gotten utilizing Net beans and spared in SQL database. The ongoing information can be
checked by vehicle administration focuses, transport proprietors and adjacent vehicle boarding point.
The driver information are put away in open cloud server in particular CloudMe.
|
| Keyword:
|
IOT, Cloud, Data Analytics
|
| EOI:
|
-
|
| DOI:
|
https://doi.org/10.31838/ijpr/2020.12.02.0125
|
| Download:
|
Request For Article
|
|
|