Development of an assessment tool to detect regular developmental group and autism group by measuring eye movement
| Project/Area Number |
16K00381
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Kansei informatics
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| Research Institution | Aichi Institute of Technology |
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Principal Investigator |
TORII Ippei 愛知工業大学, 情報科学部, 教授 (50454327)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2017: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2016: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
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| Keywords | 画像処理 / 自閉症 / アセスメントツール / 生体情報処理 / 特別支援教育 / 障害者支援 / 視線方向検出 / 感性情報処理 / 画像、文章、音声等認識 |
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| Outline of Final Research Achievements |
In this study, we aimed to develop an objective index for the diagnosis of children with the autism spectrum, which has been increasing rapidly in recent years. The pixel count change amount (numerical value) of the eye movement is obtained using the pixel gravity center of the eye part, and in the case of subject tracking with a path, the subject of autism can not keep track of the eye gaze. The differences between the autism group and the normal type developmental group were clarified, and an objective index was established. Furthermore, analysis of distribution data by density function revealed differences between subjects on the borderline between autism and non-autism. This study can be used as an indicator of adjunctive assessment of a child psychiatrists who diagnose autism. In addition, we can also evaluate the learning effects and treatment effects of autistic people in the educational setting.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，眼部のピクセル重心を用いた視線動向の画素数変化量基に，自閉症スペクトラムの医師による主観的診断に補助的役割とした客観指標を確立することを目的とした．PCのフロントカメラを使用して，高精度な画像処理手法を開発し，自閉症群と正常な定型発達群を判断する客観的指標を確立した．この測定手法は，被験者を制限する必要がなく，15秒間のデータ取得で行われる．この測定は，行動観察を行わずにASDの可能性を示す点でもユニークで，児童の障害を発見し，適切な対応・教育のために有用である．
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Report
(4 results)
Research Products
(11 results)
