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The Extraction of Riding Condition System using the EEG
Yasue Mitsukura,Hironobu Fukai,Satoru Suzuki,Yohei Tomita,Hirokazu Watai,Katsumi Tashiro,Kazutomo Murakami 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we propose an extraction method of ride comfort according to the difference of the tire by electroencephalogram (EEG). Recently, the sensory evaluation is used for development of the product. However, the sensory evaluation by a general user who doesn’t have a clear standard is unstable. Moreover, ride comfort depends on the sensibility and the preference of the individual. It is considered that these psychological changes influence the brain that rules center of sensation. Therefore, we pay attention to the EEG. We use the EEG that it is possible to measure it simply in the brain function measurement technique as an objective evaluation. In this study, the feature of the EEG during the driving is extracted by the factor analysis (FA). Moreover, we investigate the correlation of the subjective evaluation and the EEG features. From the result, the EEG features and subjective evaluation features has correlation. Thus, the effectiveness of the proposed method as an objective evaluation method was shown.
Driver Dozing Detection System Using the Near-Infrared Camera Images
Yasue Mitsukura,Hironobu Fukai,Minoru Fukumi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Recently, the research to handle face information with computer is being done. Therefore, how to search the face area automatically is very important. For this problem, there are many problem to get the faces. However these researches are for color image. There are few research using the near-infrared camera,. The purpose of this research is to recognize a face with an near-infrared camera. The face detection that used images from near-infrared camera is comparatively difficult to be don, because they are gray scale images. In this paper, the filter by using GA is designed, and the method of detecting the face and the position from the near-infrared images is proposed. It is demonstratet that our approach is effective for vehicle driver monitoring.
The EEG Analysis Method for Obtaining the Feeling
Yohei Tomita,Shin-ichi Ito,Yasue Mitsukura 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
The electroencephalogram (EEG), the brain activity of neurons in the brain, is used to record brain activity for many purposes. It also changes depends on mental conditions because mental conditions are generated in the brain. In this study, we try to estimate the mental conditions by observing the EEG patterns. The EEG data caused by mental changes is obtained as giving the subjects animal assisted therapy. The method for estimation is AdaBoosting as the neural network. We set the input vector as EEG changes and output vector is set as mental changes. Subjects are 25 people: 19 males and 6 females (age: 21-24 years old). Previous study reveals the correlation between the EEG and the activeness, and between the EEG and the tiredness. Therefore, in this paper, we try to estimate these mental parameters by the EEG at the first step.