Title: Data Mining by Smartphone and Big Data Analysis for Driver's Subconscious Behavior - An Attempt to Recognize Driver's Characteristics and Realize Safe Driving Techniques

Issue Number: Vol. 2, No. 4
Year of Publication: Dec - 2016
Page Numbers: 148-157
Authors: Hideto Kubota, Yoshiro Imai, Kazuaki Ando, Koji Kagawa, Shin'ichi Masuda, Tetsuo Hattori
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002218


Last few years, some famous types of powerful smart phones have been revitalizing the market in the world and been coming available at every situation and environment. Data mining and Big Data Analysis seem to be very useful and attractive in the information processing domain. Combination of smartphones sensing technology and data mining approach can bring fruitful results to our recognition. This study has been treating with application for smartphones to acquire specific amount of data from the target, manipulation of data set, performance of data mining and visualization normally hidden data characteristics/ relationship through machine learning. Driving characteristics acquired by application of smartphone (iPhone) have been stored as data base. Machine learning (SVM) has been applied to the relevant data for generation of useful identification operator for pattern recognition. And Visualization of subconscious driver’s behavior can be demonstrated through such identification operator.