Robust Gesture Recognition Based on Embedded System
| Main Authors: | Fei Wang, Yanli Dong, Hui Yang, Feiyan Zhao |
|---|---|
| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3868973 |
| ctrlnum |
3868973 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Fei Wang</creator><creator>Yanli Dong</creator><creator>Hui Yang</creator><creator>Feiyan Zhao</creator><date>2020-05-31</date><description>Abstract— To improve portability of current gesture recognition technology, this paper proposes a method of the design and implementation of gesture recognition based on embedded system by combining embedded platform with Open CV. Firstly, image denoising using the weighted mean filtering method, and the morphological open operation is used to obtain the complete contour, and the edge extraction is carried out by the improved Canny operator; Secondly, image segmentation using two-dimensional maximum interclass variance. Then analysis and processing of specifies the feature information of gestures images using Hu distance. Finally, the template matching method is used to recognize the gesture image. The experimental results show that the gesture recognition based on embedded system has strong portability, higher recognition rate and easy implementation.</description><identifier>https://zenodo.org/record/3868973</identifier><identifier>10.5281/zenodo.3868973</identifier><identifier>oai:zenodo.org:3868973</identifier><language>eng</language><relation>doi:10.5281/zenodo.3868972</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Engineering Research & Science 6(5) 01-06</source><subject>Embedded</subject><subject>template matching</subject><subject>human-computer interaction</subject><subject>Hu distance</subject><title>Robust Gesture Recognition Based on Embedded System</title><type>Journal:Article</type><type>Journal:Article</type><recordID>3868973</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Journal:eJournal |
| author |
Fei Wang Yanli Dong Hui Yang Feiyan Zhao |
| title |
Robust Gesture Recognition Based on Embedded System |
| publishDate |
2020 |
| topic |
Embedded template matching human-computer interaction Hu distance |
| url |
https://zenodo.org/record/3868973 |
| contents |
Abstract— To improve portability of current gesture recognition technology, this paper proposes a method of the design and implementation of gesture recognition based on embedded system by combining embedded platform with Open CV. Firstly, image denoising using the weighted mean filtering method, and the morphological open operation is used to obtain the complete contour, and the edge extraction is carried out by the improved Canny operator; Secondly, image segmentation using two-dimensional maximum interclass variance. Then analysis and processing of specifies the feature information of gestures images using Hu distance. Finally, the template matching method is used to recognize the gesture image. The experimental results show that the gesture recognition based on embedded system has strong portability, higher recognition rate and easy implementation. |
| id |
IOS17403.3868973 |
| institution |
Universitas PGRI Palembang |
| institution_id |
189 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas PGRI Palembang |
| library_id |
587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
| repository_id |
17403 |
| city |
KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
| repoId |
IOS17403 |
| first_indexed |
2022-07-26T01:36:41Z |
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2022-07-26T01:36:41Z |
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dc |
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17.610285 |