| Presentation | 2023-01-26 [Short Paper] Improved Visual Intention Estimation Model with Object Detection Using YOLO Masakiyo Okuhama, Sho Higa, Koji Yamada, Shihoko Kamisato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are two types of human eye contact: conscious eye contact and unconscious eye contact. Only conscious eye gaze should be selected in input interfaces that use eye gaze. Otherwise, the Midas Touch Problem, a phenomenon in which unintended eye gaze can cause erroneous operation, will occur. In this study, we improve the intention estimation model created to discriminate the gaze of a passenger of an electric wheelchair by adding objects in the field of view and distance to objects as new feature vectors. We created an object recognition model using YOLO and transition learning for detecting objects in the field of view. A depth camera is used to measure the distance to the object. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | electric wheelchair / YOLO / Object Detection / sensor / gaze |
| Paper # | MVE2022-34 |
| Date of Issue | 2023-01-19 (MVE) |
| Conference Information | |
| Committee | MVE / IPSJ-CVIM / VRSJ-SIG-MR |
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| Conference Date | 2023/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nara Institute of Science and Technology |
| 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) |
| 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 / Special Interest Group on Computer Vision and Image Media / SIG-MR |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Improved Visual Intention Estimation Model with Object Detection Using YOLO |
| Sub Title (in English) | |
| Keyword(1) | electric wheelchair |
| Keyword(2) | YOLO |
| Keyword(3) | Object Detection |
| Keyword(4) | sensor |
| Keyword(5) | gaze |
| 1st Author's Name | Masakiyo Okuhama |
| 1st Author's Affiliation | University of Ryukyu(Univ Ryukyu) |
| 2nd Author's Name | Sho Higa |
| 2nd Author's Affiliation | University of Ryukyu(Univ Ryukyu) |
| 3rd Author's Name | Koji Yamada |
| 3rd Author's Affiliation | University of Ryukyu(Univ Ryukyu) |
| 4th Author's Name | Shihoko Kamisato |
| 4th Author's Affiliation | National Institute of Technology, Okinawa College(NIT Okinawa College) |
| Date | 2023-01-26 |
| Paper # | MVE2022-34 |
| Volume (vol) | vol.122 |
| Number (no) | MVE-367 |
| Page | pp.pp.1-2(MVE), |
| #Pages | 2 |
| Date of Issue | 2023-01-19 (MVE) |