Abstract
As the automobile industry and technologies are developed, driver`s tend to more concern about service matters than mechanical matters. For this reason, interests about recognition of human knowledge and emotion to make safe and convenient driving environment for driver are increasing more and more. recognition of human knowledge and emotion are emotion engineering technology which has been studied since the late 1980s to provide people with human-friendly services. Emotion engineering technology analyzes people`s emotion through their faces, voices and gestures, so if we use this technology for automobile, we can supply drivels with various kinds of service for each driver`s situation and help them drive safely. Furthermore, we can prevent accidents which are caused by careless driving or dozing off while driving by recognizing driver`s gestures. the purpose of this paper is to develop a system which can recognize states of driver`s emotion and attention for safe driving. First of all, we detect a signals of driver`s emotion by using bio-motion signals, sleepiness and attention, and then we build several types of databases. by analyzing this databases, we find some special features about drivers` emotion, sleepiness and attention, and fuse the results through Multi-Modal method so that it is possible to develop the system.
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