| Project/Area Number |
15300037
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Future University -Hakodate |
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Principal Investigator |
KAWASHIMA Toshio Future University -Hakodate, Dept. of Systems Information Science, Professor, システム情報科学部, 教授 (20152952)
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| Co-Investigator(Kenkyū-buntansha) |
AKITA Junichi Kanazawa University, Faculty of Engineering, Assistant Professor, 工学部, 講師 (10303265)
NAGASAKI Takeshi Future University -Hakodate, Dept. of Systems Information Science, Assistant Professor, システム情報科学部, 講師 (70325893)
TODA Masashi Future University -Hakodate, Dept. of Systems Information Science, Associate Professor, システム情報科学部, 助教授 (40336417)
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| Project Period (FY) |
2003 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥7,000,000 (Direct Cost: ¥7,000,000)
Fiscal Year 2005: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2004: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2003: ¥4,200,000 (Direct Cost: ¥4,200,000)
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| Keywords | Eye movement / Vision chip |
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| Research Abstract |
In this research project, vision chip architecture for tracking saccadic eye movement has been developed, and its applications to man-machine interface are discussed. As results of the project (1)vision chip architecture for detecting rapid eye movement in real-time is proposed, (2)high-precision eye gaze estimation algorithm which complements the rough estimation provided by vision chip is proposed, and (3)novel user interface paradigm using rapid eye movement measurement is discussed.
2003
1 Parallel algorithm of low resolution vision chip
Parallel algorithm for tracking objects is designed based on software simulation.
2 Development of high-precision eye gaze estimation algorithm
High-precision eye gaze estimation based on very high resolution slow imaging sensor is studied. This slow algorithm compensates the precision of vision chip which are running very high speed.
3 Designing vision chip
Sample chip is designed to measure the basic characteristics of LSI.
2004-2005
1 Parallel algorithm of low resolution vision chip
Parallel algorithm for tracking eye movement is designed. The resolution of the chip was 100x100 at this stage
2 Development of high-precision eye gaze estimation algorithm
High precision pupil tracking algorithm is developed based on Extended Kalman-filter algorithm.
3 Implementation of algorithm 1 and validation of the chip
The parallel algorithm is implemented on FPGA and the performance of the chip is 146 kframe/sec for 100x100 PE.
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