IRJET- A Novel Methodology Enabling Object Details Mechanism using Red Tacton Technology

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 04 | Apr42018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1116
A Novel Methodology Enabling Object Details Mechanism Using Red
Tacton Technology
D.Roshni Priyaa1, Mrs C.Jackulin2
1Computer Science and Engineering, Panimalar Engineering College, Chennai, India
2Assistant Professor, Computer Science and Engineering, Panimalar Engineering College, Chennai, India.
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Abstract - The proposed model provides a secure and simple
communication system that consists of data transfer in real
time. The model, wearable on wrist or any other part of the
body has an integrated with pic16f877aand an insulating
material (copper) to allow the intra-body communication
using the method of galvanic coupling. Thus the proposed
methodology of using human body enhances the security of
transmitted signals as compared to the other wireless
technologies. Here we propose a system where we canperform
grocery item details whenever a particular item is touched.
Keywords— Red Tacton ; Pic16f877a Micro Controller ;
Uart ; Red Tacton Tx & Rx ; Voice Ic;
1. Introduction
The aim of this project is to make shopping easier for the
customer especially for theblindandilliteratepeopletoknow
the details of the products kept in the shop using red tacton
technology that allows the passage of data through any living
body that is in contact with it.When the customertouchesthe
red tacton transmitter which contains the product details
stored in it, the data passes through the customer’s body and
reaches to the red tacton receiver which is places in the
shopping cart which also is in contact with the body, the
speaker connected to the receiver reads the data out loud.
With this technology we can also reduce the need of human
resources. This technology uses thehumanbodyasamedium
for transferring data therefore it reduces the cost of anyextra
medium for transferring data.
2. Existing System
It is commonly known that the details of the groceries are
normally obtained using the details said by the shopkeeper.
This requires a manual operation for obtaining the grocery
details. The existing system has lots of drawbacks such as
less accuracy level, it may require high processingtimeandit
may not be suitable for all environment. Here the important
drawback is that the satisfaction of the customer depends on
the shopkeeper approach
3. Proposed System
The proposed system overcomes the drawback experienced
by the existing system. The proposed system consists of a
two sections: the groceries section and the user section. The
groceries section consists of a red-tacton transmitter. The
transmitter transmits the detail of the particular product.
Based on the received signal, the respective details aboutthe
product are transferred to the user using voice signals. The
user section is provided to the user whenevertheuserenters
the shopping arena. The voice ic is already stored with the
details of every product.
4. System Design
Fig(1)User Section
The user section part of the red tacton is placed in the cart
which consist of the red tacton receiver connected to the
voice ic and speaker. It receives the data about the product
from the red tacton transmitterintheobjectsection.Both the
transmitter and the receiver uses pic16f877a micro
controller. The software used here is embedded c to feed the
instructions onto it.
Fig(2) Object Section

5. Related Works
[1]Deep Shopping Data Acquisition Powered By Rfid
Tags
Author: Murad Khan, Bhagya Nathali Silva,
Year: 2015
Description:
To stay competitive, plenty of data mining techniques have
been introduced to help stores betterunderstandconsumers'
behaviors. However, these studies are generally confined
within the customer transaction data. Actually, another kind
of `deep shopping data', e.g. which and why goods receiving
much attention are not purchased,offersmuchmorevaluable
information to boost the product design.Unfortunately,these
data are totally ignored in legacy systems. This paper
introduces an innovative system, called tagbooth, to detect
commodities' motion and further Discover Customers'
Behaviors, Using Cots Rfid Devices.
[2] Online Apparel Shopping Behavior: Effects Of
Consumer Information Search On Purchase Decision
Making In The Digital Age
Author: Yueh-Chin Chen Yen-His Lee Hsiao-Chun Wu
Year: 2017
Description:
With e-commerce activities burgeoningoverthelastdecades,
consumers have seemingly been switching their purchases
from the physical marketplace to the internet market space.
However, it remains skeptical as to why the consumers are
able to make purchase decisions in lack of personally
experiencing the products. This study, on the basis of the
engel-kollat-blackwell consumer purchase behavior model
(the ekb model), attempted to explore the effects of the
information search behavior in the context of the digital age
on consumer decision making when buying apparel via the
internet. the sample consists of344withexperienceofbuying
apparel products via the internet, and they were recruited
from one of the most popular local online forums, in answer
to the questionnaire by recall method.
[3] Enhanced In-Store Shopping Experience Through
Smart Phone Based Mixed Reality Application
Author: Lakmal Meegahapola , Indika Perera
Year: 2017
Description:
A prime concern in today's commerce offering is having
satisfied customers througha range of businessandtechnical
solutions. Businesses invest andexploredifferentapproaches
in their merchandising and product promotion to
revolutionize in-store shopping experiences. Withtheadvent
of mixed reality (mr), augmented reality (ar) and virtual
reality (vr)as consumerleveltechnologies,ithasnowbecome
possible to lookat how shopping experienceofcustomerscan
be enhanced from a fresh perspective. This paper presents
smart phone based mixed reality application (spmra), which
makes it possible to gamify the whole in-store shopping
experience with a low cost, easy to use, smart phone based
mixed reality platform.
[4] Analysis Of Shopping Behavior Based OnSurveillance
System
Author: Mirela Popa ,Leon Rothkrantz , Zhenke Yang
Year: 2016
Description:
In this paper we present our methodology towards
developing such a system consisting of participating
observation,designingshoppingbehavioralmodels,assessing
the associated features and analyzing the underlying
technology. In order to validate our observations we made
recordings in our shoplab .next wedescribetheusedtracking
technology and the results from experiments.
[5] A Customer Behavior Identification System Using
Passive Tags
Author: Jinsong , Hanhan, Dingchen Qian
Year: 2017
Description:
Different from online shopping, in-store shopping has few
ways to collect the customer behaviors before purchase. In
this paper, we present the design and implementation of an
on-site customer behavior identification system based on
passive RFID tags, named CBID. By collecting and analyzing
wireless signal features, CBID can detect and track tag
movements and further infer corresponding customer
behaviors.
[6] “Shopminer: Mining Customer Shopping Behavior In
Physical Clothing Stores With Cots Rfid Devices
Author: L. Shangguan Et Al.,
Year: 2015
Description:
Online clothing stores are capable capturing customer
Shopping behavior.
In this paper, we show that backscatter signals of passive
RFID tags can be exploited to detect.
The proposed system design ShopMiner, a framework that
harnesses these uniquespatial-temporalcorrelationsoftime-
series phase readings to detect comprehensive shopping
behaviors.
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[7] Idsense: A Human Object Interaction Detection
System Based On Passive Uhf Rfid
Author: H. Li, C. Ye, And A. P. Sample
Year:2015
Description:
Proposes a minimalisticapproach to instrumentingeveryday
objects with passive (i.e. battery-free) uhf rfid tags.
demonstrate that our real-time classification engineisableto
simultaneously track 20 objects and identify four movement
classes with 93%accuracy. combined with the idinformation
inherently provided by the rfid tags, our approach enables
interaction identification for a wide variety of daily objects
[8]Enhancing The Shopping Experience Through Rfid In
An Actual Retail Store
Author: J. M. Seguí Et Al
Year:2013
Description:
Radio frequency identication (RFID) oers an extraordinary
opportunity toenhancetheshoppingexperienceofcustomers
in a retail store. RFID can be used to improve the availability
of products, reducing stock outs, to streamline the check-out
process. the interactive and virtual ting rooms permanently
track the RFID labels attached to the garments. by means of
RFID,
[9] Otrack: Towards Order Tracking For Tags In Mobile
Rfid Systems
Author: L. Shangguan Et Al
Year:2014
Description:
In many logistics applications of rfid technology, luggage
attached with tags are placed on moving conveyor belts for
processing.
Due to arbitrary goods placement or the irregularity of
wireless signal propagation, neither of the order of tag
identification nor the received signal strength provides
sufficient evidence on their relative positions on the belts. In
this study, we observe, from experiments, a critical region of
reading rate when a tag gets close enough to a reader.
[10] Iris: Tapping Wearable Sensing To Capture In-Store
Retail Insights On Shoppers
Author: M. Radhakrishnan, S. Eswaran, A. Misra, D.
Chander, And K. Dasgupta
Year:2016
Description:
We investigate the possibility of using a combination of a
smartphone and a smartwatch, carried by a shopper, to get
insights into the shopper’s behavior inside a retail store. the
proposed iris framework uses standard locomotive and
gestural micro-activities as building blocks to define novel
composite. Features that help classify different facets of a
shopper’s interaction/experience with individual items, as
well as attributes of the overall shopping episodeorthestore.
6. Advantages
The red tacton passes the data directly through the body
saving the cost of an extra medium for data transfer.
This technology helps the customer to know the details ofthe
product without the aid of a shop assistant thereby reducing
the need for human resources
Our product prevents the need for the maintenance of huge
databases
7. Conclusion
In this paper, we present the design, implementation of
shopping using red tacton technology which would be much
easier for blind and illiterate people to know about the
products they want to buy. This could also benefit the
shopkeeper as it does not require much human resourceand
any extra medium for transfer of data which helps in cost
efficiency .the red tacton shopping can be the most efficient
way of shopping for the customers by benefitting the
shopkeepers as well
8. Acknowledgment
We would like to express our deep gratitudetoourrespected
secretary and correspondent Dr.P.Chinnadurai, M.A., Ph.D.
for his kind words and enthusiastic motivation, which
inspired us a lot in completing this project.
We express our sincere thanks to our directors Tmt. c.
vijayarajeswari thiru. c .sakthi kumar,m.e., and Tmt.Saranya
Sree Sakthi Kumar B.E., for providing us with the necessary
facilities for completion of this project.
We also express our gratitude to our principal Dr.K.Mani,
M.E., Ph.D. for his timely concern and encouragement
provided to us throughout the course.
We thank the head of the Cse department, dr. s.murugavalli ,
M.E.,Ph.D., for the support extended throughout the project.
We would like to thank my project guide Mrs R.Devi and all
the faculty members of the departmentofCsefortheiradvice
and suggestions for the successful completion of the project.
9. Reference
[1] L. Shangguan Et Al., “Shopminer: Mining Customer
Shopping Behavior In Physical Clothing Stores WithCots
Rfid Devices,” In Proc. Acm Sensys, Nov. 2015, Pp. 113–
125.

[2] H. Li, C. Ye, And A. P. Sample, “Idsense: A Human Object
Interaction DetectionSystemBasedOnPassiveUhfRfid,”
In Proc. Acm Chi, Apr. 2015, Pp. 2555–2564.
[3] J. M. Seguí Et Al., “Enhancing The Shopping Experience
Through Rfid In An Actual Retail Store,” In Proc. Acm
Ubicomp Adjunct, Sep. 2013, Pp. 1029– 1036.
[4] L. Shangguan Et Al., “Otrack: Towards Order Tracking
For Tags In Mobile Rfid Systems,” Ieee Trans. Parallel
Distrib. Syst., Vol. 25, No. 8, Pp. 2114– 2125, Aug. 2014.
[5] M. Radhakrishnan, S. Eswaran, A.Misra,D.Chander,And
K. Dasgupta, “Iris: Tapping Wearable Sensing ToCapture
In-Store Retail Insights On Shoppers,” In Proc. Percom,
Mar. 2016, Pp. 1–8. Handbook. Mill Valley, Ca:University
Science, 1989.
[6] Tianci Liu; Lei Yang; Xiang-Yang Li; Huaiyi Huang ;
Yunhao Liu, “ Deep Shopping Data Acquisition Powered
By Rfid Tags ”, Apr .2015 , Pp. 1670 – 1678.
[7] Yueh-Chin Chen; Yen-His Lee; Hsiao-Chun Wu; Yu-Chin
Sung; Hung- Yi Chen, “Online Apparel Shopping
Behavior: Effects Of Consumer Informationsearch On
Purchase Decision Making In The Digital Age,”Nov.
2017,Pp.143 - 14
[8] Lakmal Meegahapola; Indika Perera,“EnhancedIn-Store
Shopping Experience Through SmartPhoneBasedmixed
Reality Application.” Sep.2017,Pp. 1 – 8
[9] Mirela Popa; Leon Rothkrantz; Zhenke Yang; Pascal
Wiggers; Mirela Popa; Ralph Braspenning; CaifengShan,
“Analysis Of Shopping Behavior Based On Surveillance
System,” Oct. 2010,Pp.2512 – 2519
[10] Jinsong Han; Han Ding; Chen Qian; Wei Xi; Zhi Wang;
Zhiping Jiang; Longfei Shangguan; Jizhong Zhao ,” A
Customer Behavior Identification System Using Passive
Tags,” Oct. 2016, Pp. 2885 – 2898.
[11] P. Zhang, J. Gummeson, And D. Ganesan, “Blink: A High
Throughput Link Layer For Backscatter
Communication,” In Proc. Acm Mobisys, Jun. 2012,Pp.
99–112.
[12] N. Fet, M. Handte, And P. J. Marrón, “A Model For Wlan
Signal Attenuation Of The Human Body,” In Proc. Acm
Ubicomput, Sep. 2013,Pp. 499–508.
[13] T. K. Vintsyuk, “Speech Discrimination By Dynamic
Programming,”Cybern. Syst. Anal., Vol. 4, No. 1, Pp. 52–
57, Jan. 1968.
[14] E. J. Keogh And M. J. Pazzani, “Derivative Dynamic Time
Warping,”

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