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DC Field | Value | Language |
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dc.contributor.author | Nagrath, Vivek | - |
dc.contributor.author | Raj, Akshay | - |
dc.contributor.author | Jain, Pooja [Guided by] | - |
dc.date.accessioned | 2022-10-19T06:40:45Z | - |
dc.date.available | 2022-10-19T06:40:45Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7965 | - |
dc.description.abstract | 1.1 General Gesture Recognition Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from the face and body gesture recognition. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse. Gesture recognition enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices. Gesture recognition is conducted with techniques from computer vision and image processing. Uses Gesture recognition is useful for processing information from humans which is not conveyed through speech or type. As well, there are various types of gestures which can be identified by computers. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Gesture recognition | en_US |
dc.subject | Human emotion recognition system | en_US |
dc.title | Human Emotion Recognition System | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Human Emotion Recognition System.pdf | 2.14 MB | Adobe PDF | View/Open |
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