Uploaded byShounak Katyayan
Hand Gesture Recognition
The document discusses hand gesture recognition as a method of human-computer interaction, allowing computers to interpret and respond to non-verbal communication through gestures. It outlines various technical challenges, such as the need for specialized hardware and the complexities involved in recognizing gestures accurately. The project aims to enhance the system's capability to recognize multiple gestures under different conditions and improve its overall accuracy for practical applications.
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Hand Gesture Recognition
- 1. St. Vincent PallottiCollege of Engineering and Technology Department of Computer Engineering Hand Gesture Recognition Guided by Mr. Vikas Bhowate Awani Nimbarte (02) Bhavesh Satpute (51) Prajakta Dekate (19) Mayur Nagrani (58) Sayali Kapre (32) Raunak Renge (65) Shounak Katyayan (72) (Students of 8th Sem Computer Engineering)
- 2. What is Gesture? • Non-verbal communication • Gives message • A gesture is a non-verbal communication in which visible body communicates particular message • Motion of body that contains information 2 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 3. Hand Gesture Recognition • Human Computer Interaction • Gesture provides a way for computers to understand human body language • Deals with the goal of interpreting hand gestures via mathematical algorithms • Enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices 3 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 4. Few Hand Gestures 4 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 5. Monday, 1st April2013 5 Literature Survey I. Use of electronic Hand Gesture Recognition 8th Sem Computer Engineering hardware II. Complex to use III. Physical attachment with system required IV. Lot of noise in transition
- 6. Monday, 1st April2013 6 Literature Survey I. Requires use of hand Hand Gesture Recognition 8th Sem Computer Engineering gloves II. Complex to use III. Variable glove size for more users IV. Environment Dependent
- 7. Monday, 1st April2013 7 Literature Survey I. Use of Color markers Hand Gesture Recognition 8th Sem Computer Engineering on finger or wrist II. Marker positions are fixed III. Complex to use multiple markers
- 8. • Recognized variousgestures and applied them as input to computer • Converted gestures into commands and perform related task in real-time 8 Task Accomplished Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 9. • Deployed SinglePrecision Sampling • Trained the system for identification of gestures 9 Task Accomplished Cont... Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 10. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 10 Individual Contribution
- 11. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 11 Milestones
- 12. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 12 Milestones
- 13. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 13 Milestones
- 14. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 14 Milestones
- 15. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 15 Milestones
- 16. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 16 Milestones
- 17. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 17 Milestones
- 18. Monday, 1st April2013 Hand Gesture Recognition 8th Sem Computer Engineering 18 Milestones
- 19. Project Flow HandGesture Recognition 19 Monday, 1st April 2013 8th Sem Computer Engineering
- 20. Modules • Module1 – Identifying Inputs • Module 2 – System Development and Interfacing • Module 3 – Applying More Inputs • Module 4 – Identifying Multiple Inputs Hand Gesture Recognition 20 Monday, 1st April 2013 8th Sem Computer Engineering
- 21. Module I •Identifying Inputs Hand Gesture Recognition 21 Monday, 1st April 2013 8th Sem Computer Engineering
- 22. Flow of ModuleI Monday, 1st April 2013 Hand Gesture Recognition 22 8th Sem Computer Engineering
- 23. Module I Output Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering 23 MODULE 1
- 24. Module II •System Development 24 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 25. Flow of ModuleII Monday, 1st April 2013 Hand Gesture Recognition 25 8th Sem Computer Engineering
- 26. Module II Output Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering 26 MODULE 2
- 27. Module III •Applying more input 27 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 28. System Controlling •Controlling Video Player 28 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 29. System Controlling •Controlling Audio Player 29 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 30. System Controlling •Controlling PowerPoint 30 Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering
- 31. Challenges Faced HandGesture Recognition 31 Monday, 1st April 2013 8th Sem Computer Engineering
- 32. Challenges Faced 32 • Background Removal Monday, 1st April 2013
- 33. Challenges Faced 33 • Lighting Conditions Monday, 1st April 2013
- 34. Challenges Faced HandGesture Recognition 34 • Comparison Time Monday, 1st April 2013 8th Sem Computer Engineering
- 35. Future Scope 35 Enhance the recognition capability for various lighting conditions Achieving more accuracy Implementing more number of gestures Identifying multiple number of gestures Appling gesture recognition for accessing internet applications Provide editing mechanism by using gestures Monday, 1st April 2013 Hand Gesture Recognition 8th Sem Computer Engineering