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A Study on Feature Extraction Method for Clock Drawing Images Using Weighted Direction Index Histogram
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- Shigemori Tomoaki
- Mie University
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- Kawanaka Hiroharu
- Mie University
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- Harbi Zainab
- Cardiff University
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- Hicks Yulia
- Cardiff University
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- Setchi Rossi
- Cardiff University
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- Takase Haruhiko
- Mie University
Bibliographic Information
- Other Title
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- 加重方向指数ヒストグラム法を用いた時計描画からの特徴抽出に関する一考察
- カジュウ ホウコウ シスウ ヒストグラムホウ オ モチイタ トケイ ビョウガ カラ ノ トクチョウ チュウシュツ ニ カンスル イチ コウサツ
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Description
Recently, the number of elderly persons with dementia has been increasing. In the past, we have proposed a dementia evaluation system using daily conversations and developed the system with a conversational robot. However, the current system is not sufficient for practical use because it can evaluate time/geographical orientation and short-term memory only, and the method to evaluate other orientations and functions is required as well as them. In this paper, we discussed a new dementia evaluation system using not only daily conversations but also drawing tests. The authors employed Clock Drawing Test (CDT) as new dementia evaluation test and implemented it in the tablet device. This paper discussed a feature extraction and recognition method to distinguish normal cases from dementia ones. After evaluation experiments, the proposed method could recognize 87.6% of the clock drawing images appropriately.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 31 (0), 536-539, 2015
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205673128320
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- NII Article ID
- 130005488318
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 026778626
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed