Finger Gesture Based Rating System

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 162
Finger Gesture Based Rating System
Sukrit Sarkar1, Raghavendra Singh Dasila2
1,2UG Student, Dept. of Computer Science Engineering, SRM University, Tamil Nadu, India
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Abstract - Companies and organizations are trying to
discover strategies to achieve enterprise competitiveness to
improve their flexibility and responsiveness by changing or
finding efficient and effective methods, technologies and/or
operational strategies that involve product performance
analysis and user satisfaction. This gave birth to the strategy
of rating systems. This paper is focused on the new type
concept of collective rating system based on hand gestures.
The proposed system uses computer vision and cloud
computing based business workflows to achieve the above
goal. It further discuss the problems in the existing and
proposed system along with the future prospects and
improvements of the project.
Key Words: Cloud Computing, Collective Data Manager,
Computer vision, Costumer Rating system.
1. INTRODUCTION
With the increase in the competitive growth in the business
market the facilities being providedtothe enduserarelarge.
Speed delivery, live status tracking, online shopping and
rating are few of the modern facilities being provided to the
customer. Rating systems is important in the performance
measurement. Performance measurement is the process of
collecting, analyzing and reporting the in performance of an
individual, group, organization, system or component [1].
The processes, strategies and growth of the company or
organization can be measured by this process. Also helping
the customer to compare and choose a better product based
on usage experience by other users.
With the growth of business and industries from themanual
paper work feedback, to the app-based and e-commerce
rating, the rating system has seen a major evolution with
time. In this paper we discuss a new proposed system for
rating.
E-commerce, is a type of industry where buying, selling and
processing of products or services are conducted over
electronic systems such as the Internet and other computer
networks. The concept of Cloud computing is a now applied
to e-commerce. The integration of cloud computing and e-
commerce has changed workflowoftoday’sindustries.It has
a great influence of cost reduction, performance
enhancement and customer satisfaction. E-commerce has
revolutionized the business world. Majority of these type of
sites comes with an integrated rating and feedback portal
where the customer gives a rating system based on
performance and usage.
The remainder of the paper is organizedasfollows.SectionII
summarizes related work for our paper.SectionIIIdescribes
the existing system and Section IV is the proposed system.
Section IV presents our evaluation. Finally, Section V
addresses the conclusions and the future work.
2. RELATED WORK
2.1. Cloud Computing Services
The area of cloud computing has grown massively. It
provides all the necessary tools and services needed to
sustain the entire business workflowhostingontheinternet.
Few of the services of which are focused for the need of this
system are discussed as follows [1].
2.1.1. Database-as-a-Service (DbaaS)
A database is defined as a collection of data in an
ordered fashion. Database-as-a-service (DbaaS) provides
users with some form of access to a database without the
need for setting up physical hardware, installingsoftwareor
configuring for performance. Theserviceprovidertakescare
of the administrative tasks and the maintenance, with an
option for users to do so, too.
2.1.2. Monitoring as a Service (MaaS)
Maas is a framework that run the interface for
monitoring functionalities for various other services and
applications within the cloud. MaaS is used to track states of
applications, networks, system or any element that may be
deployable within the cloud.
2.1.3. Storage as a service (SaaS)
Storage as a service (SaaS) is a business model in which
a storage is provide to the companiesontheinternetthereby
saving the cost of secondary hardware and devices. This is
mostly used by small companies for managing backups, and
providing cost savings in personnel, hardware and physical
space.
2.2. Computer Vision
Prominent existing algorithms for computer vision
exists in an open source framework known as OpenCV.
Finger and gesture recognition is a well-studied area with
several implementations already in use in several devices.
There are filter based, neural network based approaches,
and machine learning approaches. Facial and object
recognition techniques based descriptors such HOG
(Histogram Oriented Gradients)allowustouniquelyidentify

a person or an object and there areseveral datasetsavailable
to do so.
2.3. Rating Systems
Starting from online shopping to restaurants to viewing
any pages or blog in a social media, the process of rating is
prevelant everywhere. Rating refers to the process where to
mark product or individual within a certain parameter of
prescribed experience of that particular dealing. In today’s
generation customers often judge a product by its rating. A
major percentage of customers are acquainted in reviewing
products and also buy products based on this system [5].
Rating is a system of ranking customers exposureto
a certain experience. It is a marketing process in which, the
particular company or any said organization gets a direct
survey and tries to mold themselves in the needs
accordingly. The utilitarian process also hands anidea tothe
customer about their choice of selection.
3. EXISTING SYSTEM
3.1. Individual Rating System
In the existing system all companies maintain their
individual rating system. The user rating given to a
particular group/organization or element is limited to the
company. The companies needs to havea dedicatedITgroup
to maintain and analyses this section of the company. Onthe
other hand the users are only limited to the elements of a
particular company and compare with the elements of the
same company.
3.2. Application based rating System
Current application based rating software utilizes
mobile software connected to a cloud database to manually
input a rating from the customer. Each service provider
usually have their own rating capturing system set up for
their use, but most determine rating as out of 5.
The customer is required to manually input their
desired rating. Other customers can view the ratings
provided on the company’s website or on thespecificmobile
application.
4. PROPOSED SYSTEM
4.1. Collective Master Data Manager System
In this case, unlike the current system, the
companies can vend services from a common portal. The
company does not need to have a special IT sector dedicated
for this system. The portal enables the facilitiesofextraction
of data, analyze and return a report to the end users. Many
companies using services from the same company enables
comparisons of products among services and rating of
various companies on a common portal, thus opening up
new horizons to big data analytics.
4.2. Hand Gestures (Finger Count) Based Rating
This proposal utilizes fingers held up by the
customer as the basis for rating, with the number of fingers
held up as the rating out of 5. The system also saves the
descriptors of the person to prevent one person’s rating to
be counted multiple times. To prevent ambiguity and
multiple people providing ratings, a designated area is
marked for the person to stand in front of the camera which
acts as a placeholder for the proposed algorithm. The
person’s identity can be determined easily bycorrelating his
HOG descriptors with his name at the time of purchase and
billing. The proposed system works on the following
algorithm:
Algorithm
1. Determine if a person is standing at the place holder by
comparing HOG descriptors with predetermined
dataset.
2. If a person is present, capture image from the camera
and retrieve name from image captured at billing
counter.
3. Convert captured image to grayscale.
4. Apply Gaussian blur to the image for noise.
5. Apply background subtraction (to retrieve only the
hand).
6. Extract contours or edges using any edge detection
algorithm preferably Canny.
7. Determine convex hulls.
Fig -1: Hand gesture based rating
8. Count the individual fingers from convexity defects [4].
9. The number obtained is sent to the cloud database
along with identity of the person as determined at the
time of billing.
10. The data is stored in the cloud databases and along
with the information about the product or service.
11. The ratings are monitored and verified against
inappropriate content based on the list already stored
in the server.
12. The data contained in the database is effectively
analyzed based on required parameters and reports are
sent to the company selling/providing the product or the
service respectively.

5. CONCLUSIONS
This proposal allows customers to spend minimal time to
provide valuable feedback to the service providers, thereby
ensuring an honest and relevant feedback. The gesture
aspect of it allows for more social engagement with the
service providers. The universal rating collection allows the
ratings to be relevant across multiple providers whilst
facilitating analysis on a large scale. Further research can be
performed on the analysis of universal ratings and their
applications.
REFERENCES
[1] https://www.techopedia.com/definition/
[2] https://www.nist.gov/news-
events/news/2011/10/final-version-nist-cloud-
computing-definition/
[3] OpenCV Computer Vision Framework (opencv.org)
[4] http://simena86.github.io/blog/2013/08/12/hand-
tracking-and-recognition-with-opencv/
[5] http://universalrating.com/
BIOGRAPHIES
Sukrit Sarkar, UG Student,
Department of Computer Science
and Engineering, SRM University,
Chennai
Raghavendra Singh Dasila, UG
Student, Dept. ofComputerScience
Engineering, SRM University,
Tamil Nadu, India

Finger Gesture Based Rating System

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