Junichiro Yamawaki1, Yasunari Yoshitomi2, Masayoshi Tabuse2, Taro Asada2
1Client System Development Dep., SKY Co., Ltd.,3-4-30 Miyahara,Yodogawa-ku,
Osaka 532-0003, Japan
2Graduate School of Life and Environmental Sciences, Kyoto Prefectural University,
1-5 Nakaragi-cho, Shimogamo, Sakyo-ku, Kyoto 606-8522, Japan
pp. 42–47
ABSTRACT
As the average age of Japan’s population increases, it is becoming increasingly
important to identify persons suffering from mild cognitive impairment
(MCI), which is one of the pre-stages of dementia, to ensure they have
proper care while working to suppress the progression of the disease. As
a method for investigating MCI, wallet operation evaluations have been
receiving considerable attention recently. Herein, we propose a system
for inspecting wallet operation based on deep learning for image processing.
In our system, the bills and coins extracted from a wallet are automatically
scanned and recognized, which makes it possible to evaluate a person’s
ability to correctly select and extract the correct bills and coins from
the wallet within a reasonable period
ARTICLE INFO
Article History
Received 19 October 2020
Accepted 25 June 2021
Keywords
Mild cognitive impairment
Dementia
Wallet operation inspection
Deep learning
Image processing
JAALR2109
Download article(PDF)