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

1. St. Vincent Pallotti College 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
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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
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Hand Gesture Recognition
8th Sem Computer Engineering

4. Few Hand Gestures
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5. Monday, 1st April 2013
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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 April 2013
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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

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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 various gestures and applied them
as input to computer
• Converted gestures into commands and
perform related
task in real-time
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Task Accomplished
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9. • Deployed Single Precision Sampling
• Trained the system for identification of
gestures
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Task Accomplished Cont...
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Individual Contribution

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Computer Engineering
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Milestones

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Milestones

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Computer Engineering
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Milestones

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Computer Engineering
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Milestones

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Computer Engineering
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Milestones

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Computer Engineering
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Milestones

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Computer Engineering
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Milestones

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Milestones

19. Project Flow
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20. Modules
• Module 1 – Identifying Inputs
• Module 2 – System Development and Interfacing
• Module 3 – Applying More Inputs
• Module 4 – Identifying Multiple Inputs
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21. Module I
• Identifying Inputs
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22. Flow of Module I
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23. Module I Output
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MODULE 1

24. Module II
• System Development
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25. Flow of Module II
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26. Module II Output
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MODULE 2

27. Module III
• Applying more input
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28. System Controlling
• Controlling Video Player
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29. System Controlling
• Controlling Audio Player
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30. System Controlling
• Controlling PowerPoint
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31. Challenges Faced
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32. Challenges Faced
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• Background Removal
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33. Challenges Faced
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• Lighting Conditions
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34. Challenges Faced
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• Comparison Time
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35. Future Scope
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 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
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