Masayoshi Tabuse

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We have previously developed a method for the recognition of the facial expression of a speaker. For facial expression recognition, we previously selected three images: (i) just before speaking, (ii) speaking the first vowel, and (iii) speaking the last vowel in an utterance. By using the speech recognition system named Julius, thermal static images are(More)
For facial expression recognition, we selected three images: (i) just before speaking, (ii) speaking the first vowel, and (iii) speaking the last vowel in an utterance. In this study, as a pre-processing module, we added a judgment function to distinguish a front-view face for facial expression recognition. A frame of the front-view face in a dynamic image(More)
For facial expression recognition, we previously selected three images: (1) just before speaking, and speaking (2) the first vowel and (3) the last vowel in an utterance. A frame of the front-view face in a dynamic image was selected by estimating the face direction. Based on our method, we have been developing an on-line system for recognizing the facial(More)
We previously developed a method for the facial expression recognition of a speaker. For facial expression recognition, we selected three static images at the timing positions of just before speaking and while speaking the phonemes of the first and last vowels. Then, only the static image of the front-view face was used for facial expression recognition.(More)
This article presents simulation models of autonomous Khepera robots which are assumed to be running on a highway. Each robot acts by following the fish-school algorithm. Although a school of fish does not need a special individual to lead it, an autonomous movement emerges from interactions among neighboring bodies. Our goal is multirobots which behave(More)
We propose a method for detecting a baby voice using a speech recognition system and fundamental frequency analysis. We propose the following two conditions for recognizing a sound form segment of a baby voice. Condition 1: The word reliability for a sound form segment obtained by using Julius is under a threshold, Condition 2: For a certain time period,(More)
In this paper, we propose SURF feature based approach for mobile robot navigation. In this approach, we capture environmental images by using omni-directional camera and extract features of these images by using SURF. We treat these features as landmarks and estimate robot self-location and direction of motion. SURF features are invariant under scale change(More)
This article describes a new approach to control systems for a mobile robot Khepera by using a neural network with competition and cooperation as the processing unit for the robot sensors. Competition makes only one neuron active, while cooperation keeps them all active. In our research, we find that the Khepera controlled by this neural network can(More)