Transcript Digital scent technology

BY
S.PRISCILLA STEFFI
 Till now online communication involved only two
of our senses.
 SENSE OF SIGHT
 SENSE OF HEARING
 A new technology targets on sense of smell
WHAT IS DIGITAL SCENT TECHNOLOGY ?
 Digital Scent Technology intends to
change the interactive entertainment
experience.
 Using Electronic-nose we can sense a smell
and Digital scent technology it is possible to
sense, transmit and receive smell through
internet.
PHYSIOLOGICAL ASPECTS OF SMELL
Smell is most evocative of
senses.
How does the nose work?
Odour.
Olfactory mucosa and Olfactory
bulb.
Primary odours
WHAT IS AN ELECTRONIC NOSE ?
Electronic nose is a device which
detects odour and analyze it.
MAIN COMPONENTS
Sensing system
 Pattern recognition
system
SUB COMPONENTS
Sample delivery
system
 Detection system
 Computing system
ANALOGY BETWEEN THE ELECTRONIC NOSE AND
BIOLOGICAL NOSE
BIOLOGICAL NOSE
ELECTRONIC NOSE
Inhaling
Pump
Mucus
Filter
Olfactory Epithelium
Sensors
Binding With Proteins
Interaction
Cell Membrane Depolarized
Signal
Nerve Impulses
Circuitry & Neural Network
SENSORS USED IN ELECTRONIC NOSE
 What
is a sensor ?
 Sensor quality
 Binding with
Proteins
TYPES OF SENSORS
 Polymer sensors
 MOS sensors
 MOSFET sensors
 Quartz sensors
 Acoustic sensors
 Optical fibre sensors
POLYMER SENSORS
 16 different polymer films
 Fixed voltage
 Change in conductivity of
the polymer
 Base line resistance
 Bacterial Vaginosis (Bv)
MOS SENSORS
 Semiconducting film
 Taughi and Figaro
 n-type and p-type
semiconductors
 Thick and thin film material
 200oC to 400oC
 Detect gas leakage, combustible
and toxic gases
DATA ANALYSIS : PATTERN CLASSIFICATION
 3-dimensional output matrix
(Xij(t) )
 Response matrix
R=
X11
X21
.
.
.
Xn1
X12
X22
.
.
.
Xn2
....
....
Xij
....
X1m
X2m
.
.
.
Xnm
PRE-PROCESSING DATA
ANALYSIS
 Baseline manipulation
(Xijodor - Xi0) / Xi0
 Compression of data
 Normalization
MULTIVARIATE DATA ANALYSIS
PARC engine can be
classified into
 Parametric
 Non- parametric
 Supervised
 Non- supervised
VARIOUS ANALYSIS
 Linear discriminant analysis
 Principal component
analysis
 Clustering analysis
LDA
PCA
Z p =a1pX1j + a2pX2 j +...............+ aipXij +..............+ anpXnj
 Supervised
Linear data reduction
technique
CLUSTER ANALYSIS
 unsupervised,
non-parametric
 data into multiple groups
 K-clustering , Tree
clustering
ARTIFICIAL NEURAL NETWORS
 Analyze complex and non-linear
data
 Artificial neurons
 Multi layer perceptron
WHAT IS DIGITAL SCENT COMMUNICATION?
 E-nose detects the smell
molecules
 Scent is indexed according
to its chemical make up
 Scent spectrum
 Scent synthesizer
 Air cannon
CARTRIDGES USED IN SCENT SYNTHESIZERS
 19 types of smell creating
chemicals.
 19 partitions in the
container
 Anode, cathode and
electrolyte
 Chemical are derived
from bacteria or plants
SWEET SMELL OF SUCCESS
Scent stream
 Scent Registry
 Broad array of tools

SENX SCENT DEVICE (sensory enhanced net experience)
Trisenx allows users to not only download scents,
but to print out flavors that can be tasted
 It is a printer like desktop device
 Savannah, GA, based company
Aromas are stored in a disposable cartridge.
This cartridge has 20 chambers, each holding a
distinct scent. Thousands of smells can be created
with a 20-chamber cartridge
WHAT IS SENX SAMPLER?
Effective diffusion of all available
fragrances
 Chemical compounds used in
producing aroma aldehyde,
esther,alcohol and ketones.
WHAT IS AN AIR CANNON?
 Directs smell to user’s nose
 Nose Tracker
 Air clump launcher
 Scent Generator
 3 Prototypes
THIRD PROTYPE
 A scent switching mechanism is
provided
 Sub chamber
 Scent cartridge
SUMMARY
 ELECTRONIC NOSE
 SENSORS
 DATA ANALYSIS
 ISMELL PERSONAL SCENT
SYNTHESIZERS
 AIR CANNON
BIBLIOGRAPHY
 http://nanotech.sc.mahidol.ac.th/nano/E-Nose.pdf
 http://www.toodoc.com/Digital-Scent-Technology-ppt.html
 http://www.trisenx.com/now.html
 http://en.wikipedia.org/wiki/Metal_oxide_semiconductor
http://www.vecc.gov.in/~sacet09/downloads/INVITED%20SPEA
KER%20LECTURE/Nabarun.pdf
http://www.mdpi.com/1424-8220/9/8/6058/pdf
THANKYOU