Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/459893
Title: | Hand Detection and Segmentation Schemes for Trajectory guided Gesture Recognition |
Researcher: | Sarma, Debajit |
Guide(s): | Bhuyan, M K |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Indian Institute of Technology Guwahati |
Completed Date: | 2022 |
Abstract: | One interesting field of research that has gained much attention in recent times is Gesture Recognition. In the context of human-computer non-verbal communication, the visual interface becomes important in establishing communication via understanding human intention from their behaviour, such as facial expressions, hand gestures, etc. With the increasing interest in human-computer interaction (HCI), there has been rapid growth in studies related to visionbased newlinegesture recognition in recent years. Hand gesture recognition from visual images finds newlineapplications in areas like human-computer interaction, machine vision, sign language, virtual reality, augmented reality, and so on. |
Pagination: | |
URI: | http://hdl.handle.net/10603/459893 |
Appears in Departments: | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 15.44 MB | Adobe PDF | View/Open |
04_abstract.pdf | 75.72 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 328.4 kB | Adobe PDF | View/Open |
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