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Feature Extraction Method for Clock Drawing Test

Tomoaki Shigemori, Zainab Harbi, Hiroharu Kawanaka, Yulia Hicks, Rossitza Setchi, Haruhiko Takase, Shinji Tsuruoka

Year
2015
Citations
9

Abstract

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.

Keywords

Computer scienceDementiaTest (biology)Orientation (vector space)Feature (linguistics)Feature extractionArtificial intelligenceRobotPattern recognition (psychology)

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