Browsing by Author "Tanaka, Jiro"
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Item Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring(IEEE, 2018) El Masry, Noha; El-Dorry, Passant; El Ashram, Mariam; Atia, Ayman; Tanaka, JiroReal-time monitoring of the drivers may be a factor that would force them to drive safely. In this paper, we introduce a system named 'Amelio-Rater", that focuses on detection and classification of abnormal driving behaviours for automatically generating driver ratings and real-time monitoring. To reduce malicious ratings, the Amelio-rater introduces an automatic rating system which is calculated purely based on the driver's driving behaviours only. Each driver will be given his own Amelio-rater rate and a manual user rate. There are multiple types of driving abnormal behaviours monitored by the proposed system such as meandering, single weaves, sudden changing of lanes and speeding. The classification results achieved showed that the Amelio-rater reached an accuracy of 95%. Our experiments showed that the manual user rates given for the driving behaviour are not far from the rates given by Amelio-rater. Amelio-rater rates were very close to the actual rates given by the usersItem UbiGesture: Customizing and Profiling Hand Gestures in Ubiquitous Environment(SPRINGER, 2009) Atia, Ayman; Takahashi, Shin; Misue, Kazuo; Tanaka, JiroOne of the main challenges of interaction in a ubiquitous environment is the use of hand gestures for interacting with day to day applications. This interaction may be negatively affected due to the change in the user’s position, interaction device, or the level of social acceptance of a specific hand gesture. We present UbiGesture as architecture for developers and users who frequently change locations while interacting in ubiquitous environments. The architecture enables applications to be operated by using hand gestures. Normal users can customize their own hand gestures when interacting with computers in context-aware ubiquitous environments. UbiGesture is based on combining user preferences, location, input/output devices, applications, and hand gestures into one profile. A prototype implementation application for UbiGesture is presented. Then a subjective and objective primary evaluation for UbiGesture while interacting in different locations with different hand gesture profiles is presented