Upload
zebrosprojects
View
212
Download
0
Embed Size (px)
DESCRIPTION
We proposed an embedded system and a Webcam to design an embedded monitor system for body breath detection (EMSFBBD) which monitors and records the patient’s breath and sends the information to a specific server through the Internet. Our design uses image processing methods to monitor and record human breath fluctuation and to calculate the breath rate. If the breath rate is too low, too fast or stops for more than 10 seconds, our design sends out an alarm signal. Our EMSFBBD consists of two parts. For the first part a Webcam is used to capture images and to transmit them to an embedded board. For the second part an image processing program using the temporal differencing algorithm to detect chest expansion and contraction to determine the breath rate is installed in the embedded board. Our design monitors the vital signs by way of the breath rate
Citation preview
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
WAY TO YOUR GOAL
EMBEDDED SYSTEM PROJECTS
FINAL YEAR PROJECTS
IEEE PROJECTS 2013-2014
CONTACT: 9940098300, 9500075001
E-Mail:[email protected]
DESIGN AND IMPLEMENTATION OF AN EMBEDDED
MONITOR SYSTEM
FOR BODY BREATH DETECTION BY USING
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
IMAGE PROCESSING METHODS
ABSTRACT:
We proposed an embedded system and a Webcam to design an embedded
monitor system for body breath detection (EMSFBBD) which monitors and records the
patient’s breath and sends the information to a specific server through the Internet. Our
design uses image processing methods to monitor and record human breath fluctuation
and to calculate the breath rate. If the breath rate is too low, too fast or stops for more
than 10 seconds, our design sends out an alarm signal. Our EMSFBBD consists of two
parts. For the first part a Webcam is used to capture images and to transmit them to an
embedded board. For the second part an image processing program using the temporal
differencing algorithm to detect chest expansion and contraction to determine the
breath rate is installed in the embedded board. Our design monitors the vital signs by
way of the breath rate.
EXISTING METHOD:
The traditional way of monitoring the breath rate involves contact with the
human body. For example, for Impedance Anemography, one side of the electrode,
which is placed on the skin of the chest, sends a high-frequency current, and
concurrently uses the other side of the receiving electrode to receive the current changes
that take place during a breathing cycle.
METHODS FOR FINDING MOVING OBJECTS
We proposed design detects chest expansion and contraction, is similar to the
detection of a moving object by image processing. There are three major methods used
to detect a moving object.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
Temporal differencing
Background Subtraction
Optical Flow
Temporal differencing
This method used to find the difference between two continuous image data, obtains
the changes in the volume of a moving object. If the background variation is not great,
this method works well. Its disadvantage is that this method is unable to completely
discover the outline of the moving object
Background Subtraction
This method establishes the background of the images and then inputs one image after
another in order to cancel the background and to obtain the moving object. This
method, which can produce a complete outline of moving objects, is very sensitive to
changes in the environment because the background is established from the very
beginning.
Optical Flow
This method used to calculates moving locations in time to discern each pixel in
the image. This method requires a large amount of computing, and its use in an
embedded board seriously affects efficiency.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
BLOCK DIAGRAM:
CONTACT: ZEBROS PROJECTS
PHONE: 9940098300, 9500075001
PROPOSED METHOD:
The system sends images captured by the Webcam to the embedded board
where through digital image processing the EMSFBBD determines the breath rate of the
human body to detect whether the breath rate is normal. The LCD displays the real-
time status of the breath rate on the embedded board. If no signs of life are detected, a
warning message is sent to the hospital by the network interface of the board.
In our design, we use “temporal differencing” which has a higher image
processing speed and whose use in the embedded board will not result in much of a
burden. In the “temporal differencing” method uses two continuous images for
subtraction to detect the moving objects. Moreover, the “temporal differencing” method
quickly adapts to changes in lighting or background. Although this method may detect
moving objects which are already broken, we learn if any moving object is detected.
When the body is far away from the webcam, we use the nearest neighbor interpolation
method to enlarge the images. The enlargement method calculates the zoom ratio, and
then determines the pixel of the new images.
The temporal differencing method which reads the continuous image from the
Webcam, then fetches the separated image, processes this image at the gray level, and
then enlarges all the images of the object. This method finds the subtraction of the
continuous images, chooses the threshold value for the decision, uses a Gaussian filter
to remove noise and then obtains the chest displacement in breathing.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
ADVANTAGE
Low cost
Low power consumptions
Easy to use
Less noise
APPLICATIONS
Hospital applications
Healthcare applications
Sports applications
ZEBROS PROJECTS
SOFTWARE BASED HARDWARE BASED
Networking VLSI
Data Mining Mat lab
Grid Computing Robotics
Network Security Embedded
Image Processing Bio Medical
Web Applications Power Systems
Mobile Computing Power Electronics
Software Engineering Java with Embedded
Cloud Computing Android
What is IEEE?
The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries.
The IEEE describes itself as "the world's largest technical professional society -- promoting the development and application of electro technology and allied sciences for the benefit of humanity, the advancement of the profession, and the well-being of our members."
Why IEEE based projects?
It grantees for standard
It assured latest solution for problems
It delivers new patented technologies at an ever-increasing pace
It access world-class technical information provided by the IEEE and cut down your
research time.
OUR FEATURES
24*7 Call Support
Project Execution through Remote System
20 Days Technical classes taken by Corporate Trainer
Unlimited Project & Technical Support through your academic
Project software Installation support
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
PROJECT SUPPORT
0th Review 1st Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation
2nd Review 3rd Review
Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two
module Review Document Explanation
Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation
Final Review
Complete Code with Enhancement
Final Document (University Standard Format)
Complete Explanation for Project Concept & Code