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| Titel: |
Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey |
| Auteur: |
Ankit Chaudhary J. L. Raheja Karen Das Sonia Raheja |
| Verschenen in: |
International journal of computer science and engineering survey |
| Paginering: | Jaargang 2 (2011) nr. 1 pagina's 122-133 |
| Jaar: |
2011 |
| Inhoud: |
Hand gestures recognition (HGR) is one of the main areas of research for the engineers,scientists and bioinformatics. HGR is the natural way of Human Machine interaction and today manyresearchers in the academia and industry are working on different application to make interactions moreeasy, natural and convenient without wearing any extra device. HGR can be applied from games controlto vision enabled robot control, from virtual reality to smart home systems. In this paper we arediscussing work done in the area of hand gesture recognition where focus is on the intelligentapproaches including soft computing based methods like artificial neural network, fuzzy logic, geneticalgorithms etc. The methods in the preprocessing of image for segmentation and hand imageconstruction also taken into study. Most researchers used fingertips for hand detection in appearancebased modeling. Finally the comparison of results given by different researchers is also presented. |
| Uitgever: |
Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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