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Shigemori, Tomoaki; Harbi, Zainab; Kawanaka, Hiroharu; Hicks, Yulia Alexandrovna; Setchi, Rossitza; Takase, Haruhiko; Tsuruoka, Shinji (2015)
Publisher: Elsevier
Journal: Procedia Computer Science
Languages: English
Types: Article

Classified by OpenAIRE into

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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Ministry of Health, Labour and Welfare of Japan, http://www.mhlw.go.jp
    • 2. M. Kanoh, Y. Oida, Y. Nomura, A. Araki, Y. Konagaya, K. Ihara, T. Shimizu and K. Kimura, “Examination of Practicability of Robot Assisted Activity Program using Communication Robot for Elderly People”, Journal of Robotics and Mechatronics, vol. 23, No. 1, pp. 3-12, 2011
    • 3. ifoo Co., Ltd, http://www.ifoo.co.jp
    • 4. Y. Izutsu, H. Kawanaka, K. Yamamoto, K. Suzuki H. Takase and S. Tsuruoka, “A Study on Conversational Content Recogni- tion Method Using Japanese WordNet for Robot-Assisted Therapies”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 16, No. 1, pp. 62-68, 2012
    • 5. Y. Izutsu, R. Sumiyoshi, H. Kawanaka, K. Yamamoto, H. Takase and S. Tsuruoka, “A Proposal of Dementia Evaluation Method Using Interaction with Communication Robots in Welfare Facilities”, Journal of Japan Association for Medical Informatics, Vol. 32, No. 2, pp. 73-81, 2012
    • 6. H. Nagasaka, H. Kawanaka, K. Yamamoto, K. Suzuki, H. Takase and S. Tsuruoka, “Development of Dementia Evaluation System Using Daily Conversations”, Proc. of Fuzzy System Symposium, Vol. 28, pp. 739-742, 2012
    • 7. H. Kajiwara, H. Kawanaka, K. Yamamoto, H. Takase and S. Tsuruoka, “Modified Weighted Direction Index Histogram Method for Schema Recognition”, Lecture Notes in Computer Science (GREC2013 - Graphics Recognition: Current Trends and Challenges), B. Lamiroy and J. Ogier (Eds.) Springer, ISBN 978-3-662-44853-3, pp. 63-73, 2014
    • 8. T. Shigemori, H. Kawanaka, H. Takase and S. Tsuruoka, “Development of Dementia Evaluation System Using Conversations and Drawing Tests”,Proc. of the 6th International Workshop on Regional Innovation Studies (IWRIS2014), pp. 43-46, 2014
    • 9. M. Bennasara, R. Setchi, A. Bayerb, Y. Hicks, “Feature Selection Based on Information Theory in the Clock Drawing Test”, Proc. of the 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, pp. 456-465, 2013
    • 10. M. Bennasar, R. Setchi, Y. Hicks, “Cascade Classification for Diagnosing Dementia” Proc. of the 2014 International Conference on Systems, Man, and Cybernetics, pp. 2535-2540, 2014
    • 11. Davis R, Libon DJ, Au R, Pitman D, Penney DL. Think, “Inferring cognitive status from subtle behaviours”, the 26th IAAI Conference, 2898-905, 2014
    • 12. Open-Sorce Large Vocabulary CSR Engine Julius, http://julius.sourceforge.jp/
    • 13. F. Kimura, T. Wakabayashi, S. Tsuruoka, Y. Miyake, “Improvement of handwritten Japanese character recognition using weighted direction code histogram”, Pattern Recognition, vol. 30, no. 8, pp. 1329-1337, 1997
    • 14. S. Tsuruoka, M. Kurita, T. Harada, F. Kimura, Y. Miyake, “Handwritten KANJI and HIRAGANA Character Recognition Using Weighted Direction Index Histogram Method”, The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol. J70-D, No. 7, pp. 1390-1397, 1987
    • 15. S. Tsuruoka, H. Morita, F. Kimura, Y. Miyake, “Handwritten Character Recognition Adaptable to the Writer”, Procs. of IAPR Workshop on Computer Vision - Special Hardware and Industrial Applications (MVA1998), pp. 179-182, 1988
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