| Presentation | 2022-10-06 A Study of Next Step Prediction Method using Smartphone IMU Ikuto Ohki, Hidehiko Shishido, Yoshinari Kameda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In a walking support system for the visually impaired, if the system can predict which way the next step will be taken, it will be possible to provide more advanced and safer walking support. In this paper, we call this next step prediction. In this study, we investigate a method to realize next step prediction using an IMU on a smartphone, and discuss the possibility of next step prediction. Since it is difficult for a person to walk while holding a smartphone steadily against body, next step prediction using only an IMU is considered to be a ill-posed problem. In this study, we assume that there is a pattern in the sway of a visually impaired person's gait. In order to learn the pattern, we prepare a training dataset and aim to realize next step prediction. In this report, we use time series data consisting of smartphone IMU output and smartphone position pairs for learning. Experimental results show the accuracy of next step prediction by training on an open dataset. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Next Step Prediction / Support for the Visually Impaired / IMU / Deep Learning |
| Paper # | MVE2022-20 |
| Date of Issue | 2022-09-29 (MVE) |
| Conference Information | |
| Committee | MVE / VRSJ-SIG-MR / IPSJ-EC / HI-SIG-DeMO / VRSJ-SIG-CS |
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| Conference Date | 2022/10/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kiyoshi Kiyokawa(NAIST) |
| Vice Chair | Sumaru Niida(KDDI Research) |
| Secretary | Sumaru Niida(NAIST) / (DNP) / (Univ. of ToKyo) / (NTT) |
| Assistant | Hidehiko Shishido(Univ. of Tsukuba) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment / SIG-MR / Special Interest Group on Entertainment Computing / Special Interest Group on De-vice Media Oriented UI / SIG-CS |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Next Step Prediction Method using Smartphone IMU |
| Sub Title (in English) | |
| Keyword(1) | Next Step Prediction |
| Keyword(2) | Support for the Visually Impaired |
| Keyword(3) | IMU |
| Keyword(4) | Deep Learning |
| 1st Author's Name | Ikuto Ohki |
| 1st Author's Affiliation | University of Tsukuba(U-Tsukuba) |
| 2nd Author's Name | Hidehiko Shishido |
| 2nd Author's Affiliation | University of Tsukuba(U-Tsukuba) |
| 3rd Author's Name | Yoshinari Kameda |
| 3rd Author's Affiliation | University of Tsukuba(U-Tsukuba) |
| Date | 2022-10-06 |
| Paper # | MVE2022-20 |
| Volume (vol) | vol.122 |
| Number (no) | MVE-200 |
| Page | pp.pp.13-17(MVE), |
| #Pages | 5 |
| Date of Issue | 2022-09-29 (MVE) |