alexa Real Time Driver Activity Index Detection Using Fuzzy
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Real Time Driver Activity Index Detection Using Fuzzy Logic

Adnan Shaout1, Raj Tonshal2
Department Electrical and Computer Engineering, The University of Michigan – Dearborn, United States
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Abstract

In developing an intelligent human machine interface (HMI) one of the critical components is knowing the state of the driver. Driving is a high cognitive activity and minimizing the distraction is critical. To address this, a Driver Activity Index (DAI) has been developed and presented in this paper to measure how busy the driver is. Two key driving parameters have been used to determine the driver activity index; Acceleration Pedal (ACC Pedal) and steering wheel angle measure. Fuzzy logic is used in modelling and predicting the DAI. Fuzzy logic modelling made computing the DAI in real time possible. Fuzzy logic also has simplified the computation of the DAI whose mathematical representation relating to the key vehicle driving parameters is complex to represent.

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