cdc4363f8eba2425e8460fbc373742df.ppt
- Количество слайдов: 19
DIGITAL SCENT TECHNOLOGY BY S. PRISCILLA STEFFI
INTRODUCTION Ø Till now online communication involved only two of our senses. § SENSE OF SIGHT § SENSE OF HEARING Ø A new technology targets on sense of smell WHAT IS DIGITAL SCENT TECHNOLOGY ? Ø Digital Scent Technology intends to change the interactive entertainment experience. Ø 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 ØSmell is most evocative of senses. ØHow does the nose work? ØOdour. ØOlfactory mucosa and Olfactory bulb. ØPrimary odours
WHAT IS AN ELECTRONIC NOSE ? ØElectronic nose is a device which detects odour and analyze it. MAIN COMPONENTS ØSensing system Ø Pattern recognition system SUB COMPONENTS ØSample delivery system Ø Detection system Ø Computing system
ANALOGY BETWEEN THE ELECTRONIC NOSE AND 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 Ø What is a sensor ? Ø Sensor quality Ø Binding with Proteins TYPES OF SENSORS Ø Polymer sensors Ø MOSFET sensors Ø Quartz sensors Ø Acoustic sensors Ø Optical fibre sensors
POLYMER SENSORS Ø 16 different polymer films Ø Fixed voltage Ø Change in conductivity of the polymer Ø Base line resistance Ø Bacterial Vaginosis (Bv) MOS SENSORS Ø Semiconducting film Ø Taughi and Figaro Ø n-type and p-type semiconductors Ø Thick and thin film material Ø 200 o. C to 400 o. C Ø Detect gas leakage, combustible and toxic gases
DATA ANALYSIS : PATTERN CLASSIFICATION Ø 3 -dimensional output matrix (Xij(t) ) Ø Response matrix R= X 11 X 21. . . Xn 1 X 12 X 22. . . Xn 2 . . . . Xij. . X 1 m X 2 m. . . Xnm PRE-PROCESSING DATA ANALYSIS Ø Baseline manipulation (Xijodor - Xi 0) / Xi 0 Ø Compression of data Ø Normalization
MULTIVARIATE DATA ANALYSIS PARC engine can be classified into Ø Parametric Ø Non- parametric Ø Supervised Ø Non- supervised VARIOUS ANALYSIS Ø Linear discriminant analysis Ø Principal component analysis Ø Clustering analysis
LDA PCA Z p =a 1 p. X 1 j + a 2 p. X 2 j +. . . . + aip. Xij +. . . + anp. Xnj Ø Supervised Linear data reduction technique
CLUSTER ANALYSIS Ø unsupervised, non-parametric Ø data into multiple groups Ø K-clustering , Tree clustering ARTIFICIAL NEURAL NETWORS Ø Analyze complex and non-linear data Ø Artificial neurons Ø Multi layer perceptron
WHAT IS DIGITAL SCENT COMMUNICATION? Ø E-nose detects the smell molecules Ø Scent is indexed according to its chemical make up Ø Scent spectrum Ø Scent synthesizer Ø Air cannon
CARTRIDGES USED IN SCENT SYNTHESIZERS Ø 19 types of smell creating chemicals. Ø 19 partitions in the container Ø Anode, cathode and electrolyte Ø Chemical are derived from bacteria or plants SWEET SMELL OF SUCCESS ØScent stream Ø Scent Registry Ø Broad array of tools Ø
SENX SCENT DEVICE (sensory enhanced net experience) ØTrisenx allows users to not only download scents, but to print out flavors that can be tasted Ø It is a printer like desktop device Ø Savannah, GA, based company ØAromas are stored in a disposable cartridge. ØThis cartridge has 20 chambers, each holding a distinct scent. Thousands of smells can be created with a 20 -chamber cartridge WHAT IS SENX SAMPLER? ØEffective diffusion of all available fragrances Ø Chemical compounds used in producing aroma aldehyde, esther, alcohol and ketones.
WHAT IS AN AIR CANNON? Ø Directs smell to user’s nose Ø Nose Tracker Ø Air clump launcher Ø Scent Generator Ø 3 Prototypes
THIRD PROTYPE Ø A scent switching mechanism is provided Ø Sub chamber Ø Scent cartridge
SUMMARY Ø ELECTRONIC NOSE Ø SENSORS Ø DATA ANALYSIS Ø ISMELL PERSONAL SCENT SYNTHESIZERS Ø AIR CANNON
BIBLIOGRAPHY Ø http: //nanotech. sc. mahidol. ac. th/nano/E-Nose. pdf Ø http: //www. toodoc. com/Digital-Scent-Technology-ppt. html Ø http: //www. trisenx. com/now. html Ø http: //en. wikipedia. org/wiki/Metal_oxide_semiconductor Øhttp: //www. vecc. gov. in/~sacet 09/downloads/INVITED%20 SPEAK ER%20 LECTURE/Nabarun. pdf Øhttp: //www. mdpi. com/1424 -8220/9/8/6058/pdf
THANKYOU
cdc4363f8eba2425e8460fbc373742df.ppt