| Presentation | 2022-07-07 3s2sub: A Proposal of Data Segmentation Scheme for Fall Detection by Smartphone Built-in Accelerator Pengyu Guo, Masaya Nakayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Fall is defined as an event which results in a person coming to rest inadvertently on the ground or floor or other lower level. While threatening people's lives, it also brings huge economic costs. In this work, data segmentation scheme called 3s2sub is proposed, which is to detect fall with smartphone built-in accelerator. The approach is tested with a public dataset ? UniMiB SHAR. The accuracy achieved by KNN and SVM are about 98% in 30-fold evaluation. And Macro Average accuracy are about 97% and 98% in 30-fold evaluation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Activity Recognition / Fall Detection / Smartphone built-in Sensor / Accelerometer |
| Paper # | LOIS2022-7 |
| Date of Issue | 2022-06-30 (LOIS) |
| Conference Information | |
| Committee | LOIS / IPSJ-DC |
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| Conference Date | 2022/7/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Toda(NTT) / Yoshihito Akimoto(Toppan) |
| Vice Chair | Manabu Motegi(Takushoku Univ.) |
| Secretary | Manabu Motegi(Nagasaki Univ.) / (NTT) |
| Assistant | Mana Sasagawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 3s2sub: A Proposal of Data Segmentation Scheme for Fall Detection by Smartphone Built-in Accelerator |
| Sub Title (in English) | |
| Keyword(1) | Activity Recognition |
| Keyword(2) | Fall Detection |
| Keyword(3) | Smartphone built-in Sensor |
| Keyword(4) | Accelerometer |
| 1st Author's Name | Pengyu Guo |
| 1st Author's Affiliation | The University of Tokyo(Uni.Tokyo) |
| 2nd Author's Name | Masaya Nakayama |
| 2nd Author's Affiliation | The University of Tokyo(Uni.Tokyo) |
| Date | 2022-07-07 |
| Paper # | LOIS2022-7 |
| Volume (vol) | vol.122 |
| Number (no) | LOIS-97 |
| Page | pp.pp.18-23(LOIS), |
| #Pages | 6 |
| Date of Issue | 2022-06-30 (LOIS) |