| Presentation | 2019-03-18 Study of Real-Time Human Behavior Recognition Using Wearable Device Kei Nakada, Atsushi Ito, Hiroyuki Hatano, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | According to the spread IoT, various devices are connected to the network and exist around our life space. In order to use such devices, it is necessary to operate a plurality of devices in the environment, and a new UI for intuitive operation is required. A UI using a gesture enables intuitive operation and realizes operation with less restriction by hardware should be proposed. The real-time recognition is important for the real use of gesture for UI. In this paper, we propose a new method to realize real-time recognition of gesture from acceleration and gyro using machine learning. Then, we firstly prepare a gesture based on Japanese traditional “Soragaki” that is a gesture to write characters in the air by finger. We designed gestures aiming to be accepted by society. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | User Interface / Gesture Recognition / Machine Learning |
| Paper # | TL2018-55 |
| Date of Issue | 2019-03-11 (TL) |
| Conference Information | |
| Committee | TL |
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| Conference Date | 2019/3/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Waseda University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Theme 1 : Language and Learning, Learning Language, Theme 2: Abduction of meaning, "Ba" in Co-Creation, Abduction and Innovation, Theme 3: Interpretation, Translation, Theory of linguistic relativity and hospitality communication |
| Chair | Hiroshi Sano(Tokyo Univ. of Foreign Studies) |
| Vice Chair | Tadahisa Kondo(Kogakuin Univ.) / Kazuhiro Takeuchi(Osaka Electro-Comm. Univ.) |
| Secretary | Tadahisa Kondo(Kobe Gakuin Univ.) / Kazuhiro Takeuchi(Kyoto Inst. of Tech.) |
| Assistant | Nobuyuki Jincho(Waseda Univ.) / Akinori Takada(Ferris Univ.) / Akio Ishikawa(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Thought and Language |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Real-Time Human Behavior Recognition Using Wearable Device |
| Sub Title (in English) | Gesture Recognition by Finger Motion Sensing |
| Keyword(1) | User Interface |
| Keyword(2) | Gesture Recognition |
| Keyword(3) | Machine Learning |
| 1st Author's Name | Kei Nakada |
| 1st Author's Affiliation | Utsunomiya University(Utsunomiya Univ.) |
| 2nd Author's Name | Atsushi Ito |
| 2nd Author's Affiliation | Utsunomiya University(Utsunomiya Univ.) |
| 3rd Author's Name | Hiroyuki Hatano |
| 3rd Author's Affiliation | Utsunomiya University(Utsunomiya Univ.) |
| Date | 2019-03-18 |
| Paper # | TL2018-55 |
| Volume (vol) | vol.118 |
| Number (no) | TL-516 |
| Page | pp.pp.27-31(TL), |
| #Pages | 5 |
| Date of Issue | 2019-03-11 (TL) |