1. Hand Gesture Recognition
Project Introduction
Shounak Katyayan

2. What is Gesture ?
• Non-verbal communication
• Gives message
• A gesture is a nonverbal
communication in which
visible body communicates
particular message
• Motion of body that contains
information
Gesture Recognition
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3. Gesture Recognition
• Human computer interaction
• Gesture provides a way for computers to understand
human body language
• Deals with the goal of interpreting human gestures
via mathematical algorithms
• Enables humans to interface with the machine (HMI)
and interact naturally without any mechanical
devices
Gesture Recognition
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4. Few Hand Gestures
Gesture Recognition
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5. Image Transformation
Frame Extraction
Gaussian Blur
RGB to HSV
Colour Thresholding
Blob Detection
Gesture Recognition
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6. Module - I
• Identifying Input
Gesture Recognition
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7. Module - II
• System Development
Gesture Recognition
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8. Module - III
• Applying more input
Gesture Recognition
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9. Module - IV
• Analyze with existing applications
Gesture Recognition
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10. Module - V
• Identifying multiple input
Gesture Recognition
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11. Data Flow Diagram
User Camera Driver
Frame Extraction
Background detection
& Removal
Gesture
Application Recognition
Colour System
Detection
Vector
Calculation
Pattern Gesture
Matching
Database
Thresholding RGB to HSV Applying Gaussian Operating System
Blur Interface
Gesture Recognition
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12. Applications
 Image controlling & Scaling
 To Control Mouse
 Sign Language Recognition
 Gaming Interface
 Robot Control
 Controlling Machines
Gesture Recognition
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13. Applications
 System Control and Image Scaling
Gesture Recognition
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14. Hardware
• Web Camera - (320 x 260 minimum)
• Processor - 400 MHz or above
• RAM - 512 MB or above
• Hard disk - at least 256 MB free
Software
• Operating System Platform - Windows XP
• Back End - Binary Text
• GUI development - Visual Basic 6.0
Gesture Recognition
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15. Gesture Recognition
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