Hand Gesture Recognition with Multiple Leap Motion Devices
Gesture recognition is often used in various fields like sign language recognition, entertainment, virtual and augmented reality applications and many others. Vision based approaches with such devices like Leap Motion controllers and Kinect are often used in such systems and allow to achieve high pe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct24/files/Kis.pdf
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| _version_ | 1818990363650555904 |
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| author | Vasilij Kiselev Maxim Khlamov Kirill Chuvilin |
| author_facet | Vasilij Kiselev Maxim Khlamov Kirill Chuvilin |
| author_sort | Vasilij Kiselev |
| collection | DOAJ |
| description | Gesture recognition is often used in various fields like sign language recognition, entertainment, virtual and augmented reality applications and many others. Vision based approaches with such devices like Leap Motion controllers and Kinect are often used in such systems and allow to achieve high performance in terms of recognition accuracy. This paper shows how one can overcome the most common problem of such systems - self-occlusion. In this paper we propose the method for the hand gesture recognition which requires 3 Leap Motion controller devices. This work shows that increasing the number of cameras can leads to better recognition accuracy. In addition we provide the methods of creating camera setup. |
| first_indexed | 2024-12-20T19:53:11Z |
| format | Article |
| id | doaj.art-b5bf72ce0a6b47de84eb1d2d4ec5875d |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-20T19:53:11Z |
| publishDate | 2019-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-b5bf72ce0a6b47de84eb1d2d4ec5875d2022-12-21T19:28:15ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-0185424163169Hand Gesture Recognition with Multiple Leap Motion DevicesVasilij Kiselev0Maxim Khlamov1Kirill Chuvilin2Moscow Institute of Physics and Technology (State University), Moscow, RussiaMoscow Institute of Physics and Technology (State University), Moscow, RussiaMoscow Institute of Physics and Technology (State University), Moscow, RussiaGesture recognition is often used in various fields like sign language recognition, entertainment, virtual and augmented reality applications and many others. Vision based approaches with such devices like Leap Motion controllers and Kinect are often used in such systems and allow to achieve high performance in terms of recognition accuracy. This paper shows how one can overcome the most common problem of such systems - self-occlusion. In this paper we propose the method for the hand gesture recognition which requires 3 Leap Motion controller devices. This work shows that increasing the number of cameras can leads to better recognition accuracy. In addition we provide the methods of creating camera setup.https://fruct.org/publications/fruct24/files/Kis.pdf gesture recognitionvr interfacesleap motionHuman computer interaction (HCI)Trackingunity |
| spellingShingle | Vasilij Kiselev Maxim Khlamov Kirill Chuvilin Hand Gesture Recognition with Multiple Leap Motion Devices Proceedings of the XXth Conference of Open Innovations Association FRUCT gesture recognition vr interfaces leap motion Human computer interaction (HCI) Tracking unity |
| title | Hand Gesture Recognition with Multiple Leap Motion Devices |
| title_full | Hand Gesture Recognition with Multiple Leap Motion Devices |
| title_fullStr | Hand Gesture Recognition with Multiple Leap Motion Devices |
| title_full_unstemmed | Hand Gesture Recognition with Multiple Leap Motion Devices |
| title_short | Hand Gesture Recognition with Multiple Leap Motion Devices |
| title_sort | hand gesture recognition with multiple leap motion devices |
| topic | gesture recognition vr interfaces leap motion Human computer interaction (HCI) Tracking unity |
| url | https://fruct.org/publications/fruct24/files/Kis.pdf
|
| work_keys_str_mv | AT vasilijkiselev handgesturerecognitionwithmultipleleapmotiondevices AT maximkhlamov handgesturerecognitionwithmultipleleapmotiondevices AT kirillchuvilin handgesturerecognitionwithmultipleleapmotiondevices |