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Date of Publication:2013-01-01

Journal:大连理工大学学报

Affiliation of Author(s):运载工程与力学学部

Issue:6

Page Number:879-884

ISSN No.:1000-8608

Abstract:Driver′s spiritual state monitoring is important for reducing traffic accidents .Based on support vector machine (SVM ) , a face orientation recognition model with information fusion is presented .Firstly , based on the detected multiple visual features such as eyes , mouth and facial contours ,the features′ position variations during the head moving are analyzed . Then , the face orientation is estimated with these characteristics through SVM method . The experimental results show that the proposed method for features detection has good reliability and the face orientation can be inferred according to the relevant characteristics .It is clear that the proposed method has strong potential effectiveness to be applied to the driver′s spiritual state monitoring .

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