| Paper Abstract and Keywords |
| Presentation |
2022-12-15 17:45
Motion Classification of Cleaning Tasks by Machine Learning Using Short-Time Motion and Biometric Data
Yuya Itagaki, Kazuki Maeda, Yuya Okazaki, Yuko Horita (Univ of Toyama) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Moderate exercise is considered to be one of the most important factors for health promotion, and cleaning work is attracting attention as a way to improve the health of the elderly and other people. The unit of exercise intensity is expressed as METS, which indicates the intensity of an activity by the number of times more energy expended than when the resting state is set to 1. For improving actual health, it is very important to verify that long-term measurement of METS during cleaning work. However, it is difficult to accurately measure METS during cleaning work because there are movements that are a combination of various movements. Therefore, it is necessary to categorize cleaning tasks into smaller movements, such as vacuuming and wiping. In this study, we investigate the development of a system that can understand the motions of cleaning tasks using machine learning based on short time data of motion and biometric data. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Machine learning / motion classification / accelerometer / heart rate sensor / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Download PDF |
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| Conference Information |
| Committee |
HCGSYMPO |
| Conference Date |
2022-12-14 - 2022-12-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Onsite (Sunport Takamatsu) and Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HCGSYMPO |
| Conference Code |
2022-12-HCGSYMPO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Motion Classification of Cleaning Tasks by Machine Learning Using Short-Time Motion and Biometric Data |
| Sub Title (in English) |
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| Keyword(1) |
Machine learning |
| Keyword(2) |
motion classification |
| Keyword(3) |
accelerometer |
| Keyword(4) |
heart rate sensor |
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| 1st Author's Name |
Yuya Itagaki |
| 1st Author's Affiliation |
Toyama University (Univ of Toyama) |
| 2nd Author's Name |
Kazuki Maeda |
| 2nd Author's Affiliation |
Toyama University (Univ of Toyama) |
| 3rd Author's Name |
Yuya Okazaki |
| 3rd Author's Affiliation |
Toyama University (Univ of Toyama) |
| 4th Author's Name |
Yuko Horita |
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Toyama University (Univ of Toyama) |
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| Speaker |
Author-1 |
| Date Time |
2022-12-15 17:45:00 |
| Presentation Time |
25 minutes |
| Registration for |
HCGSYMPO |
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| Volume (vol) |
vol. |
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