| Item type |
SIG Technical Reports(1) |
| 公開日 |
2023-05-24 |
| タイトル |
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タイトル |
透明なゲルを用いた柔らかい入力インタフェースに関する検討 |
| タイトル |
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言語 |
en |
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タイトル |
A Study on a Soft Input Interface using Transplant Gel |
| 言語 |
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言語 |
jpn |
| キーワード |
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主題Scheme |
Other |
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主題 |
セッション8 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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青山学院大学理工学研究科 |
| 著者所属 |
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青山学院大学理工学研究科 |
| 著者所属 |
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青山学院大学理工学研究科 |
| 著者所属 |
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青山学院大学理工学研究科 |
| 著者所属 |
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青山学院大学理工学研究科 |
| 著者所属(英) |
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en |
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Graduate School of Science and Engineering, Aoyama Gakuin University |
| 著者所属(英) |
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en |
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Graduate School of Science and Engineering, Aoyama Gakuin University |
| 著者所属(英) |
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en |
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Graduate School of Science and Engineering, Aoyama Gakuin University |
| 著者所属(英) |
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en |
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Graduate School of Science and Engineering, Aoyama Gakuin University |
| 著者所属(英) |
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en |
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Graduate School of Science and Engineering, Aoyama Gakuin University |
| 著者名 |
小栗, 芙美果
伊藤, 弘大
前田, 竜矢
田中, 久範
伊藤, 雄一
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| 著者名(英) |
Fumika, Oguri
Kodai, Ito
Tatsuya, Maeda
Hisanori, Tanaka
Yuichi, Itoh
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
In this study, we propose an input device using a soft and transparent gel and a system to estimate 3D interactions to the soft materials using the device. The device consists of a soft and transparent urethane resin, infrared LEDs, and infrared phototransistors. By deforming the device, the LED light intensity passing through the transparent gel changes. We propose a system to esitimate the deformation of the device by machine learning from the feature values of phototransistors that changes in response to the light. As an evaluation experiment, we classified 13 different interactions using two hands and evaluated the accuracy of the system. We acquired data 10 times for each interaction and classified them using SVM. The classification accuracy was evaluated by stratified 10-part cross-validation, and it was confirmed that the interaction could be classified with 98.5% accuracy. Then we also estimated the bending curvature of the device. We bent the device along the five different radius cylinders and acquired 10 data for each. The curvature is calculated from the radius of cylinders. We evaluated the accuracy of SVR estimation by 10-part cross-validation and got 0.93 coefficient of determination(R2). |
| 論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
In this study, we propose an input device using a soft and transparent gel and a system to estimate 3D interactions to the soft materials using the device. The device consists of a soft and transparent urethane resin, infrared LEDs, and infrared phototransistors. By deforming the device, the LED light intensity passing through the transparent gel changes. We propose a system to esitimate the deformation of the device by machine learning from the feature values of phototransistors that changes in response to the light. As an evaluation experiment, we classified 13 different interactions using two hands and evaluated the accuracy of the system. We acquired data 10 times for each interaction and classified them using SVM. The classification accuracy was evaluated by stratified 10-part cross-validation, and it was confirmed that the interaction could be classified with 98.5% accuracy. Then we also estimated the bending curvature of the device. We bent the device along the five different radius cylinders and acquired 10 data for each. The curvature is calculated from the radius of cylinders. We evaluated the accuracy of SVR estimation by 10-part cross-validation and got 0.93 coefficient of determination(R2). |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA1221543X |
| 書誌情報 |
研究報告ヒューマンコンピュータインタラクション（HCI）
巻 2023-HCI-203,
号 29,
p. 1-6,
発行日 2023-05-24
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8760 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-HCI23203029.pdf (4.3 MB)
