| Paper Abstract and Keywords |
| Presentation |
2019-11-27 13:55
[Poster Presentation]
Development and evaluation of physical condition estimation system using smart cutlery and machine learning technologies
Keidai Hori, Hiroshi Yamamoto (Ritsumeikan Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the number of hospital users has decreased and the number of people who are not aware of illness is increasing due to increase in elderly people living alone. In order to cope with such a situation, there is a need for a system that family living far away can detect changes in the physical condition of elderly people living alone. Although various wearable devices have been proposed to estimate changes in physical condition, many people, particularly elderly people, have resistance to new equipment.
Tharefore, in this study, to set up sensors (Acceleration sensor, Gyroscope, Pulse sensor, etc.) that run measure various information about the user's behavior to cutlery(e.g., spoon, fork) that is used daily by elderly people living alone such as cutlery we propose. In addition, a sensor network system is constructed to continuously collect information. Futhermore, by analyzing sensor data using various machine learning technologies, we build a learning model that can estimate physical condition based on fluctuation patterns of various sensor data at daily. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
IoT / Health Care / BLE(Bluetooth Low Energy) / Machine Learning / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
RISING |
| Conference Date |
2019-11-26 - 2019-11-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Researches on Super-Intelligent Networking, etc. |
| Paper Information |
| Registration To |
RISING |
| Conference Code |
2019-11-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Development and evaluation of physical condition estimation system using smart cutlery and machine learning technologies |
| Sub Title (in English) |
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IoT |
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Health Care |
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BLE(Bluetooth Low Energy) |
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Machine Learning |
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| 1st Author's Name |
Keidai Hori |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Hiroshi Yamamoto |
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Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2019-11-27 13:55:00 |
| Presentation Time |
50 minutes |
| Registration for |
RISING |
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