Review of constraints on vision-based gesture recognition for human–computer interaction
The ability of computers to recognise hand gestures visually is essential for progress in human–computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. However, gesture recognition is extremely challenging not only because of it...
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| Vydáno v: | IET computer vision Ročník 12; číslo 1; s. 3 - 15 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
The Institution of Engineering and Technology
01.02.2018
Wiley |
| Témata: | |
| ISSN: | 1751-9632, 1751-9640, 1751-9640 |
| On-line přístup: | Získat plný text |
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| Abstract | The ability of computers to recognise hand gestures visually is essential for progress in human–computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. However, gesture recognition is extremely challenging not only because of its diverse contexts, multiple interpretations, and spatio-temporal variations but also because of the complex non-rigid properties of the hand. This study surveys major constraints on vision-based gesture recognition occurring in detection and pre-processing, representation and feature extraction, and recognition. Current challenges are explored in detail. |
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| AbstractList | The ability of computers to recognise hand gestures visually is essential for progress in human–computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. However, gesture recognition is extremely challenging not only because of its diverse contexts, multiple interpretations, and spatio-temporal variations but also because of the complex non-rigid properties of the hand. This study surveys major constraints on vision-based gesture recognition occurring in detection and pre-processing, representation and feature extraction, and recognition. Current challenges are explored in detail. |
| Author | Bhuyan, M.K Sarma, Debajit MacDorman, Karl F Chakraborty, Biplab Ketan |
| Author_xml | – sequence: 1 givenname: Biplab Ketan surname: Chakraborty fullname: Chakraborty, Biplab Ketan organization: 1Department of Electronics and Electrical Engineering, IIT Guwahati 781039, India – sequence: 2 givenname: Debajit surname: Sarma fullname: Sarma, Debajit organization: 1Department of Electronics and Electrical Engineering, IIT Guwahati 781039, India – sequence: 3 givenname: M.K surname: Bhuyan fullname: Bhuyan, M.K email: mkb@iitg.ernet.in organization: 1Department of Electronics and Electrical Engineering, IIT Guwahati 781039, India – sequence: 4 givenname: Karl F surname: MacDorman fullname: MacDorman, Karl F organization: 2Indiana University School of Informatics and Computing, 535 West Michigan St., Indianapolis, IN 46202, USA |
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| Keywords | diverse contexts virtual reality spatio-temporal variations medical assistance multiple interpretations vision-based gesture recognition man-machine systems sign language human-computer interaction gesture recognition feature extraction feature recognition hand gesture recognition complex nonrigid properties |
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| SubjectTerms | complex nonrigid properties diverse contexts feature extraction feature recognition gesture recognition hand gesture recognition human-computer interaction man-machine systems medical assistance multiple interpretations sign language spatio-temporal variations Special Section: Computer Vision in Healthcare and Assisted Living virtual reality vision-based gesture recognition |
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| Title | Review of constraints on vision-based gesture recognition for human–computer interaction |
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