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The project is about building a human-computer interaction system
using hand gesture by cheap alternative to depth camera. We present
a robust , efficient and real-time technique for depth mapping using
normal 2D -camera and Infrared LED arrays . We use HOG feature
based SVM classifiers to predict hand pose and dynamic hand gestures . The system also tracks hand movements and events like grabbing and
clicking bythe hand.
The Gesture Recognition Technology is rapidly growing technology and this PPT describes about the working of gesture recognition technology,the sub fields in it, its applications and the challenges it faces.
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
Virtual Mouse using hand gesture recognitionMuktiKalsekar
This project is to develop a Virtual Mouse using Hand Gesture Recognition. Hand gestures are the most effortless and natural way of communication. The aim is to perform various operations of the cursor. Instead of using more expensive sensors, a simple web camera can identify the gesture and perform the action. It helps the user to interact with a computer without any physical or hardware device to control mouse operation.
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.
Keyboard without keys, virtual keyboard uses sensor technology and artificial intelligence. Awesome replacement for QWERTY keyboard. Can implement all types of keyboards. Example of Augmented Reality.
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.
Keyboard without keys, virtual keyboard uses sensor technology and artificial intelligence. Awesome replacement for QWERTY keyboard. Can implement all types of keyboards. Example of Augmented Reality.
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project presentation on mouse simulation using finger tip detection
1. Project Presentation
On
A VISION BASED APPLICATION FOR
VIRTUAL MOUSE INTERFACE USING
FINGER TIP
Group No:21
Group Members with Roll No
1.Sumit Varshney(1109131911)
2.Bhuvnesh Gaur(1109131905)
3.Yatendra Kumar(1009131118)
DEPARTMENT OF ELECTRONICS ENGINEERING
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
2. Project objective
The objective is to manage computers and other devices
with gestures rather than pointing and clicking a mouse
or touching a display directly.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
3. Problem Statement
To design vision based mouse which detects hand
gestures patterns instead of physical mouse.
Basically we use detection of finger tip which are
captured by webcam.
The camera is positioned such that it recognizes the
motion of finger tips and performs the operations of
mouse.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
4. Introduction
• As computer technology continues to develop, people have
smaller and smaller electronic devices.
• Increasingly we are recognizing the importance of human
computing interaction (HCI), and inparticular vision-based
gesture and object recognition.
• In our project, we propose a novel approach that uses a video
device to control the mouse system(Mouse tasks).
• We employ several image processing algorithms to implement
this.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
5. Application and Future work
• control of cursor and clicking action in various devices.
•In the future, we plan to add more features such as enlarging
and shrinking windows, closing window, etc. by using the
palm and multiple fingers.
We can also open the browser or any drives
(C: /D:/E: etc)with the help of hand gestures instead
of
moving the cursor.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
8. 1.Image Resize
Map camera coordinates to screen
coordinates.
2.Segmentation
Separate the hand area from a complex
background.
we converted from RGB color space to
YCbCr color space, and then to binary
image.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
9. 3.Denoise
Need to delete noisy pixels from the image.
We use an image morphology algorithm
that performs image erosion and image
dilation to eliminate noise.
Erosion trims down the image area where
the hand is not present.
Dilation expands the area of the Image
pixels which are not eroded.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
10. 5.Finding finger tip
The convex hull algorithm is used to solve
the problem of finding the biggest polygon
including all vertices.
we can detect finger tips on the hand.
We used this algorithm to recognize if a
finger is folded or not.
Check the distance between the center and
a pixel which is in convex hull set.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
11. 6.Controlling Mouse
Weighted speed cursor control. We get a
difference of the finger of the current
image and the previous image and compute
the distance between the two.
Next, we move the mouse cursor if the gap
between the two finger images (current and
previous frame) is far then the mouse cursor
moves fast or, if the gap is close then the
cursor moves slow.
clicking
Scrolling.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
12. Hardware And Software Requirements
• Web cam at least 30 frames/second, 640x480 resolution
• MATLAB(DIP tool )
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
13. Conclusion
• We are developing a system to control the mouse cursor
using a real-time camera.
• This system is based on computer vision algorithms and
can do all mouse tasks.
• However, it is difficult to get stable results because of the
variety of lighting and skin colors of human races.
• This system could be useful in presentations and to reduce
work space.
•Features such as enlarging and shrinking windows, closing
window, etc. by using the palm and multiple fingers.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION
14. Advantages
•The main advantage of using hand gestures is to interact
with computer as a non-contact human computer input modality.
• Reduce hardware cost by eliminating use of mouse.
• Convenient for users not comfortable with touchpad.
• The framework may be useful for controlling different
types of games and other applications dependent on the
controlled through user defined gestures.
DEPARTMENT OF ELECTRONICS &
COMMUNICATION