Feature extraction method for clock drawing test

Shigemori, Tomoaki, Harbi, Zainab, Kawanaka, Hiroharu, Hicks, Yulia Alexandrovna ORCID: https://orcid.org/0000-0002-7179-4587, Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544, Takase, Haruhiko and Tsuruoka, Shinji 2015. Feature extraction method for clock drawing test. Procedia Computer Science 60 , pp. 1707-1714. 10.1016/j.procs.2015.08.280

Preview

PDF - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview

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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Additional Information:	Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings
Publisher:	Elsevier
ISSN:	1877-0509
Date of First Compliant Deposit:	19 July 2016
Last Modified:	06 Jul 2023 20:42
URI:	https://orca.cardiff.ac.uk/id/eprint/92988

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item