A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene pr...
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| Format: | Thesis |
| Language: | English |
| Published: |
2009
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| Online Access: | http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf |
| _version_ | 1797010676872380416 |
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| author | Chan , Lih Yang |
| author_facet | Chan , Lih Yang |
| author_sort | Chan , Lih Yang |
| collection | USM |
| description | Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene problem. But it faces challenges of usability in term of cost and environmental variation like lighting. This thesis proposes and implements hand gesture recognition methods in image browsing application, to allow users views pictures contactless from input device in real time. |
| first_indexed | 2024-03-06T15:23:16Z |
| format | Thesis |
| id | usm.eprints-41673 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:23:16Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | usm.eprints-416732019-04-12T05:26:59Z http://eprints.usm.my/41673/ A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application Chan , Lih Yang TK1-9971 Electrical engineering. Electronics. Nuclear engineering Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene problem. But it faces challenges of usability in term of cost and environmental variation like lighting. This thesis proposes and implements hand gesture recognition methods in image browsing application, to allow users views pictures contactless from input device in real time. 2009-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf Chan , Lih Yang (2009) A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Chan , Lih Yang A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title | A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title_full | A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title_fullStr | A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title_full_unstemmed | A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title_short | A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application |
| title_sort | vision based human hand gesture recognition interface for image browsing application |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf |
| work_keys_str_mv | AT chanlihyang avisionbasedhumanhandgesturerecognitioninterfaceforimagebrowsingapplication AT chanlihyang visionbasedhumanhandgesturerecognitioninterfaceforimagebrowsingapplication |