Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Feature extraction method for clock drawing test

Shigemori, Tomoaki, Harbi, Zainab, Kawanaka, Hiroharu, Hicks, Yulia Alexandrovna, Setchi, Rossitza, 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

PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


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: 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: 19 Oct 2019 03:06

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics