My old 2002 Thesis on Hand Gesture Recognition using a Web Cam!
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This document summarizes a project on hand gesture recognition using a webcam. The project goals were to research hand gesture recognition techniques, algorithms, potential uses and issues, and develop a prototype gesture recognition system. The system used a webcam to capture images which were then processed and interpreted to recognize gestures. A 3D hand model was also developed and used for gesture modelling and recognition. In conclusion, the project researched hand gesture recognition and developed a prototype system using an optical glove and 3D hand model.
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Hand Gesture Recognition Based on Shape Parameters
Hi guys,
I am sharing a new link for code & project report. Hope it help you in your academics. Contact me if you need any help.
https://drive.google.com/drive/folders/1H0p852jfoyQuFig_IoMyVVK-U5o18Mxh?usp=sharing
A real time system for hand gesture recognition on the basis of detection of some meaningful shape based features like orientation, centre of mass (centroid), status of fingers and thumb in terms of raised or folded and their respective location in image.
Algorithm is implemented in Matlab v7.10
We use this hand gestures for
1. Sign Language Recognition
2. Human Machine Interaction.
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Hi guys,
I am sharing a new link for code & project report. Hope it help you in your academics. Contact me if you need any help.
https://drive.google.com/drive/folders/1H0p852jfoyQuFig_IoMyVVK-U5o18Mxh?usp=sharing
A real time system for hand gesture recognition on the basis of detection of some meaningful shape based features like orientation, centre of mass (centroid), status of fingers and thumb in terms of raised or folded and their respective location in image.
Algorithm is implemented in Matlab v7.10
We use this hand gestures for
1. Sign Language Recognition
2. Human Machine Interaction.
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The document discusses hand gesture recognition. It defines what gestures are and how gesture recognition works by interpreting human gestures through mathematical algorithms. This allows humans to interact with machines naturally without devices. Examples of applications include controlling a smart TV with hand movements and using gestures for gaming. The document outlines the hardware and software needed for gesture recognition, including a webcam, processor, RAM, and operating system. It also provides an overview of the module structure involved in identifying and applying gestures as inputs.
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The presentation contains a technology for identifying any type of body motions commonly originating from hand and face using artificial neural network.This include identifying sign language also.This technology is for speech impaired individuals.
// I have shared an IJCSE standard paper in this topic
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Gesture recognition is a topic in computer science and language technology which interpret human gestures via mathematical algorithms.
Gestures can originate from any bodily motion or state but commonly originate from the face or hand.
Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices.
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Gestures are expressive, meaningful body motions, i.e., physical movements of the fingers, hands, arms, head, face, or body with the intent to convey information or interact with the environment.
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Digital design uses computer skills and creativity to design visuals for electronic technology. It includes fields like web design, digital imaging, and 3D modeling. Digital design creates graphics and designs for the web, TV, print, and portable devices using computers, graphics tablets, and other electronic tools. It is an evolving industry that explores new technologies. Digital design has many applications including web design, 3D modeling for movies, architectural planning, and product design. 3D modeling involves creating mathematical representations of objects, placing them in virtual scenes, and rendering them into images. Popular 3D modeling programs include 3Ds Max, Maya, SketchUp, Rhino, CATIA, and SolidWorks.
CGI technology in movie
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this presentation help to understand about the basic of digital photogrammetry,, its also help for understand about the concept of digital photography software available now a days , and uses of various software in the field of RS and GIS.
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Model reduction for facial animation
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UC Fast Visualisaion
UC provides fast 3D modeling and visualization through several techniques:
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presentation for augmented reality. ,It consists of introduction, working, components of AR, applications, limitations, recent development and conclusion. all the best for your presentation
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UC Fast Visualisaion
UC uses bespoke tools and techniques to quickly create 3D models from 2D plans and designs. Their modelers are trained to work fast, converting designs to 3D geometry in as little as 8 hours. UC can automatically convert 3D data from other modeling programs to real-time formats in under a minute. This allows for fast iteration and integration of changes. UC also has tools for quickly capturing images, video, and animating traffic simulations from the real-time 3D models.
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Newmedia ad recommendation for psy concert (For Presentation)
sookmyung women's university
new media advertising recommendations for psy concert
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- 1. Hand Gesture RecognitionHand Gesture Recognition Using a Web CamUsing a Web Cam Chris GledhillChris Gledhill
- 2. Project DemoProject Demo BackgroundBackground Project goalsProject goals Image CaptureImage Capture Image ProcessingImage Processing Image InterpretationImage Interpretation Gesture RecognitionGesture Recognition Gesture ModellingGesture Modelling Project ConclusionsProject Conclusions
- 3. BackgroundBackground Current user interfacesCurrent user interfaces – Keyboards, Rodents, Joysticks, TabletsKeyboards, Rodents, Joysticks, Tablets – 2D2D – RangeRange – Require physical contactRequire physical contact Hand gesturesHand gestures – 3D3D – IntuitiveIntuitive – Virtual RealityVirtual Reality
- 4. Background continued…Background continued… Gesture recognitionGesture recognition – Mechanical glove based approachMechanical glove based approach – Optical approachOptical approach Capture the imageCapture the image Processing the imageProcessing the image Interpreting the imageInterpreting the image Gesture recognitionGesture recognition
- 5. Project GoalsProject Goals Research hand gesture recognitionResearch hand gesture recognition techniquestechniques – AlgorithmsAlgorithms – Present/future usesPresent/future uses – IssuesIssues Develop a prototype gesture recognitionDevelop a prototype gesture recognition systemsystem – Optical spotty glove locationOptical spotty glove location
- 6. Image CaptureImage Capture Video Camera, Digital Camera, Web CamVideo Camera, Digital Camera, Web Cam – ResolutionResolution – Frame rateFrame rate – ColourColour Logitech QuickCam Pro 3000Logitech QuickCam Pro 3000 – 640x480640x480 – 30 fps30 fps – 24bit colour24bit colour
- 7. Image Capture continued…Image Capture continued… Logitech SDK/Video for Windows/DirectLogitech SDK/Video for Windows/Direct Hardware/DirectXHardware/DirectX DirectX SDKDirectX SDK – CompatibilityCompatibility – Windows componentWindows component – Useful librariesUseful libraries
- 8. Image ProcessingImage Processing Tidy up the imageTidy up the image – Resize (640x480 => 70x70)Resize (640x480 => 70x70) – Colour Reduction (16.7 million => 4)Colour Reduction (16.7 million => 4) – Noise ReductionNoise Reduction Locate spotsLocate spots – Centre of massCentre of mass
- 9. Image InterpretationImage Interpretation Rule based 2DRule based 2D
- 10. Gesture RecognitionGesture Recognition 3 gestures recognised3 gestures recognised Palm down resting gesturePalm down resting gesture 2 click gestures2 click gestures
- 11. Gesture modellingGesture modelling 3D model based analysis3D model based analysis
- 12. Gesture modellingGesture modelling 3D Hand model developed in 3D Studio Max3D Hand model developed in 3D Studio Max
- 13. Gesture modelling continued…Gesture modelling continued… Converted to .X file formatConverted to .X file format Imported into application as Direct3D meshImported into application as Direct3D mesh objectobject
- 14. Gesture modelling continued…Gesture modelling continued… Rendered usingRendered using Direct3DDirect3D
- 15. Project ConclusionProject Conclusion Researched hand gesture recognitionResearched hand gesture recognition techniquestechniques – AlgorithmsAlgorithms – Present/future usesPresent/future uses – IssuesIssues Developed a prototype gesture recognitionDeveloped a prototype gesture recognition systemsystem – Optical spotty glove locaterOptical spotty glove locater – 3D Hand model3D Hand model
- 16. Project Demo SummaryProject Demo Summary BackgroundBackground Project goalsProject goals Image captureImage capture Image processingImage processing Image interpretingImage interpreting Gesture recognitionGesture recognition Gesture modellingGesture modelling Project conclusionsProject conclusions