International Journal of Trend in Scientific Research and Development


Online-Issn No :
2456-6470
Print-Issn No :
XXXX
Language :
English
Publisher :
R Patel

Indexed - 2019 : IPI Value (4.22)


Abnormal Driving Behaviors detection with smart phones


Article PDF :

Veiw Full Text PDF

Article type :

Original Article

Author :

Dr. B. Srinivasa Rao | U. Sri Devi | K. Sri Satya Harsha | A. Rakesh | K. Muralidhar

Volume :

3

Issue :

2

Abstract :

Abnormal driving behaviors detection is a key stone for reducing accidents. There are several existing works for abnormal driving detection which uses high cost sensors to check whether the driver is in normal state or in drunken state. In this paper we would like to introduce a low cost technique for detecting abnormal driving behaviors with the use of some in built Smartphone sensors. With the information collected from the sensors we will employ the machine learning technique SVM and KNN to extract the features and for generating a classifier model. We will send the alerts if abnormality is detected. Dr. B. Srinivasa Rao | U. Sri Devi | K. Sri Satya Harsha | A. Rakesh | K. Muralidhar "Abnormal Driving Behaviors detection with smart phones" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11339.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/11339/abnormal-driving-behaviors-detection-with-smart-phones/dr-b-srinivasa-rao

Keyword :

Abnormal Driving behaviors; SVM (Support Vector Machine); KNN(k-Nearest Neighbors); Smart phone sensors; sending alerts

Doi :

https://doi.org/10.31142/ijtsrd11339

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