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http://dx.doi.org/10.7840/kics.2017.42.4.892

Development of AVN Software Using Vehicle Information for Hand Gesture  

Oh, Gyu-tae (Korea Electronic Technology Institute)
Park, Inhye (Korea Electronic Technology Institute)
Lee, Sang-yub (Korea Electronic Technology Institute)
Ko, Jae-jin (Korea Electronic Technology Institute)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.4, 2017 , pp. 892-898 More about this Journal
Abstract
This paper describes the development of AVN(Audio Video Navigation) software for vehicle information analysis and gesture recognition. The module that examine the CAN(Controller Area Network) data of vehicle in the designed software analyzes the driving state. Using classified information, the AVN software converge vehicle information and hand gesture information. As the result, the derived data is used to match the service step and to perform the service. The designed AVN software was implemented in HW platform that common used in vehicles. And we confirmed the operation of vehicle analysing module and gesture recognition in a simulated environment that is similar with real world.
Keywords
Audio Video Navigation(AVN); Vehicle information; Controller Area Network(CAN); Wearable device; Gesture recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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