In this paper, we propose a modified visual stimulus generation method and feature detection algorithm to design a frequency and phase coding steady-state visual evoked potential (SSVEP) based brain-computer interface...
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ISBN:
(纸本)9781424496365
In this paper, we propose a modified visual stimulus generation method and feature detection algorithm to design a frequency and phase coding steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI). By utilizing both frequency and phase information, we solve the harmonic frequency problem in our proposed SSVEP-BCI system. The offline experimental results show that the proposed feature detection algorithm can enhance the classification rate over 10% (from 69%+/- 12% to 82%+/- 8%) even though only one signal electrode is used and the harmonic frequencies (6367Hz, 13.33Hz, 8357Hz and 17.14Hz) are employed.
This paper introduces a database of over 3,600 color images which we collected from 616 different human faces. It includes facial images of people between ages 2-85. Face images of persons with different ages is neede...
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ISBN:
(纸本)9781424416240
This paper introduces a database of over 3,600 color images which we collected from 616 different human faces. It includes facial images of people between ages 2-85. Face images of persons with different ages is needed to generate a reliable age classification algorithm. Four different poses, two different expressions, and one image with glasses were taken if the subjects were interested. Information such as career, kind of skin, fingerprint, and cosmetic points (surgical points, fracture or laceration on face) is taken from participants. The background was a white frame and the only illumination was the daylight. We named this database the Iranian Face Database (IFDB). To evaluate the database the experimental result of a new feature detection algorithm is reported.
This paper introduces a database of over 3,600 color images which we collected from 616 different human faces. It includes facial images of people between ages 2-85. Face images of persons with different ages is neede...
详细信息
This paper introduces a database of over 3,600 color images which we collected from 616 different human faces. It includes facial images of people between ages 2-85. Face images of persons with different ages is needed to generate a reliable age classification algorithm. Four different poses, two different expressions, and one image with glasses were taken if the subjects were interested. Information such as career, kind of skin, fingerprint, and cosmetic points (surgical points, fracture or laceration on face) is taken from participants. The background was a white frame and the only illumination was the daylight. We named this database the Iranian Face Database (IFDB). To evaluate the database the experimental result of a new feature detection algorithm is reported.
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