Feature Extraction Method for Clock Drawing Test | Zendy

Tomoaki Shigemori | Zendy; Zainab Harbi | Zendy; Hiroharu Kawanaka | Zendy; Yulia Hicks | Zendy; Rossitza Setchi | Zendy; Haruhiko Takase | Zendy; Shinji Tsuruoka | Zendy

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Feature Extraction Method for Clock Drawing Test

Author(s) -

Tomoaki Shigemori,

Zainab Harbi,

Hiroharu Kawanaka,

Yulia Hicks,

Rossitza Setchi,

Haruhiko Takase,

Shinji Tsuruoka

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.08.280

Subject(s) - computer science , dementia , test (biology) , orientation (vector space) , feature (linguistics) , feature extraction , artificial intelligence , robot , pattern recognition (psychology) , medicine , paleontology , linguistics , philosophy , geometry , mathematics , pathology , disease , biology

Recently, the number of elderly persons with dementia has been increasing. In the past, we proposed a dementia evaluation system using daily conversations and developed the system with a conversational robot. However, the current system is not ready for practical use because it can only evaluate time/geographical orientation and short-term memory, and some methods to evaluate other orientations and functions is required as well. In this paper, we discuss a new dementia evaluation system using not only daily conversations but also drawing tests. The authors employed a Clock Drawing Test (CDT) as a new dementia evaluation test and implemented it in a tablet device. This paper discusses a feature extraction and recognition method to distinguish normal cases from dementia cases. After evaluation experiments, the proposed method could recognize 87.6% of the clock drawing images

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