| Presentation | 2023-06-16 Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity. However, studies on all aspects of human fingertip movements have been limited, and analysis methods still need to be well-established. Our research group is developing a finger motion measurement system that combines image recognition and touch panel manipulation. Therefore, the purpose of this study is to utilize the finger motion data extracted using our developed system and propose an analysis method for assessing manual dexterity. Our key idea is to focus on irregularly sampled finger motion time-series data and analyze it using a state-space model. The proposed method follows steps: (Step 1) Data loading and organization. (Step 2) Coordinate data transformation. (Step 3) Individual comparison of data features. In a case study, we extract data measured according to two types of tapping tasks (i.e., normal task and n-back task). We provide analysis examples of four parameters: reaction time and speed of finger motion, the difference in distance, and angle. We also discuss the findings, highlighting the differences from related studies and identifying areas for improvement in our method. It expects to establish new indicators for manual dexterity, enabling the early detection of signs of cognitive decline in older adults. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cognitive function prediction / Finger movements / Time-series data / State-space model / Feature analysis |
| Paper # | WIT2023-6 |
| Date of Issue | 2023-06-09 (WIT) |
| Conference Information | |
| Committee | WIT |
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| Conference Date | 2023/6/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinji Sakou(Nagoya Inst. of Tech.) |
| Vice Chair | Tomohiro Amemiya(Univ. of Tokyo) |
| Secretary | Tomohiro Amemiya(Saitama Industrial Tech. Center) |
| Assistant | Minako Hosono(AIST) / Aki Sugano(Univ. of Toyama) / Tomoyasu Komori(NHK) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People |
| Sub Title (in English) | |
| Keyword(1) | Cognitive function prediction |
| Keyword(2) | Finger movements |
| Keyword(3) | Time-series data |
| Keyword(4) | State-space model |
| Keyword(5) | Feature analysis |
| 1st Author's Name | Hayato Seiichi |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Sinan Chen |
| 2nd Author's Affiliation | Kobe University(Kobe Univ.) |
| 3rd Author's Name | Atsuko Hayashi |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| 4th Author's Name | Masahide Nakamura |
| 4th Author's Affiliation | Kobe University(Kobe Univ.) |
| Date | 2023-06-16 |
| Paper # | WIT2023-6 |
| Volume (vol) | vol.123 |
| Number (no) | WIT-81 |
| Page | pp.pp.30-35(WIT), |
| #Pages | 6 |
| Date of Issue | 2023-06-09 (WIT) |