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OLFACTORY EMITTING SYSTEM
BACKGROUND OF THE INVENTION
The present invention relates to computerized smell generating systems, and more particularly to computerized smell emitting systems within a networked environment or other electronic medium distribution systems or stand-alone electronic devices.
SUMMARY OF THE INVENTION
The wide-ranging reach of the Internet has spurred a large amount of advertising on the Internet. Some companies have Internet web sites that are sufficiently sophisticated to include digitized sound recordings for advertising their products. Internet users can download and play back these audio advertisements to learn more about an advertised product.
While the Internet allows advertisements via the human sense of hearing, the human sense of smell has largely been ignored on the Internet. This human sense has been ignored despite many companies having products with particular aromas or smells that may entice an Internet user to buy the products.
For example, many pizza companies provide the service of ordering pizzas for home delivery via their respective Internet web sites. However, the web sites do not entice potential customers by allowing the customers to smell the pizza they are advertising .
Accordingly, it is an object of the present invention to provide the art with a computerized system that emits smells based upon data files received over a network, such as the Internet. With such functionality, the present invention can simulate any smell ranging from fresh cut flowers or perfumes to hot, deep dish pizza. Accordingly, floral companies, perfume companies and food companies or any smell-related company can advertise through the present invention by providing a particular smell or aroma associated with their respective products.
In accordance with one aspect of the present invention, a smell data structure is utilized for containing smell data indicative of a smell that is to be
emitted. A first computer that is connected to a network receives the smell data structure over the network. A smell emitter device that is connected to the first computer and to a gas container controls the emission of the gas from the container based upon the received smell data.
In accordance with a second aspect of the invention, a method for emitting a smell within a computerized network environment includes generating smell data indicative of the smell to be emitted. The smell data structure is transmitted across the network and is received at a first computer. The emission of a predetermined gas from a container is controlled based upon the received smell data.
Additional objects and advantages of the present invention will be apparent from the detailed description of the preferred embodiment, the appended claims in the accompanying drawings, or may be learned by practice of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are incorporated in and constitute part of the specification, illustrate an embodiment of the present invention and together, with the description, serve to explain the principles of the invention. In the drawings, the same reference numeral indicates the same parts.
Figure 1 is a block diagram showing the data flow among components of the present invention.
Figure 2 is a front view of the hardware configuration utilized in the preferred embodiment of the present invention.
Figure 3 is a flow chart depicting the operational steps for recording a smell using a bio-sensing recorder.
Figure 4 is a flow chart depicting the operational steps utilized by a sensor array to record a smell.
Figure 5 is a neural network schematic diagram depicting an exemplary neural network implementation for identifying smells in accordance with the present invention.
Figure 6 is a data structure depicting the hierarchial arrangement of the smell data structure.
Figure 7 is a flow chart depicting the operational steps for emitting a smell using a cylinder in accordance with the teachings of the present invention.
Figure 8 is a flow chart depicting the operational steps for emitting a smell using several cylinders for emitting a smell in accordance with the teachings of the present invention.
Figure 9 is a schematic diagram depicting the preferred embodiment of the smell emitter device.
Figure 1 0 is a block diagram showing the data flow among components of an embodiment of the present invention which utilizes speech recognition technology.
Figure 1 1 is a flow chart depicting the operational steps for emitting a smell using speech recognition technology.
Figures 1 2-1 3 depict an embodiment of the present invention operating within an ATM environment.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
Turning to the Figures, particularly Figure 1 , a smell recorder and emitter is illustrated and generally designated with the reference numeral 20. In one exemplary application of the present invention, smell recorder and emitter 20 records a smell 24 in a digital format so that smell 24 can be stored, transported across the Internet 64 and reproduced at a remote location as simulated smell 28. Within the present invention, smell recorder 32 receives smell 24. Smell recorder 32 is designed to be sensitive to the smell characteristics of smell 24. Smell recorder 32 may record smell 24 via a bio-sensing device 36 (whose operations are described in Figure 3), or may include a sensor array 40 (whose operations are depicted in Figure 4) . Smell recorder 32 in the preferred embodiment utilizes an artificial intelligence device 44, such as a neural network, in order to identify smell 24 and to convert smell 24 into the proper digitized smell data.
Smell recorder 32 converts the sensed characteristics of smell 24 into digitized smell data 52 to be stored as a file on computer 47. The present invention includes utilizing different levels of computer cards (for example, 8-bit or
1 6-bit cards) in order to capture and digitize smell 24. A smell card is preferably utilized for such purposes as adjusting the sample rates of the smell in order to improve the quality of the captured and digitized smell.
A feature of the present invention is that with smell 24 digitized as smell data 52, smell data 52 can be communicated over such networks as the Internet 64 to a remote computer 68. Remote computer 68 is equipped with the components of the present invention necessary to produce simulated smell 28. With this feature, digitized smell data 52 can be transported across Internet 64 to many users in order to advertise various products.
When digitized smell data 52 is needed to emit simulated smell 28, a smell emitter device 56 is utilized to convert the digitized information into electrical control signals to produce simulated smell 28. Smell emitter device 56 is within the preferred embodiment connected to remote computer 68 through a computer serial port 60. However, it is to be understood that the present invention is not limited to the interface being a computer serial port, but also includes utilizing such other computer interface mechanisms as parallel ports and infrared computer interfaces.
Within the preferred embodiment, smell emitter device 56 contains aromatic gas that has been dissolved in a solvent and stored under pressure in gas cylinders. The cylinders can be activated based upon the recorded smell to produce a composite gas (i.e., simulated smell 28) similar to smell 24.
Figure 2 shows an exemplary hardware configuration for components of the present invention. A computer 80 contains a smell recorder jack 84 and a smell recorder (not shown) . A smell is recorded via smell recorder jack 84 and is processed in accordance with the teachings of the present invention in order to generate digitized smell data through ports 60 and cable 88 to smell emitter device 56. Based upon the digitized smell data, smell emitter device 56 emits a simulated smell through holes 92 that are located preferably on the front portion of smell emitter device 56.
Within the preferred embodiment of the present invention, smell emitter device 56 is sized so that it can be placed proximally to computer screen 96. Proximity of smell emitter device 56 to computer screen 96 enables a user who is
viewing information on computer screen 96 to more easily smell the simulated smell emanating from smell emitter device 56.
Figure 3 depicts the operational steps for recording the smell using a bio- sensing device. Start indication block 1 00 indicates that process block 1 04 is to be executed wherein a smell is emitted proximate to a bio-sensing recorder. At process block 1 08, the smell is received at a layered olfactory acceptor protein portion of the bio-sensing device. In particular, the bio-sensing device is produced by surface treating or layering olfactory acceptors protein of either human or vertebrate onto a piezo electric crystal.
The combination of the olfactory acceptor protein in combination with the molecules of the smell to be recorded effects a change in the oscillation frequency of the piezo electric crystal as depicted at process block 1 1 2. The change in the frequency is converted into an electric signal at process block 1 1 6. The digitized values are stored at process block 120 before processing terminates at termination block 1 24.
Figure 4 is a flow chart depicting the operational steps for recording a smell using a sensor array. Start indication block 140 indicates that process block 144 is to be executed wherein a smell is emitted proximal to a sensor array. The sensor array in the preferred embodiment includes a compound, such as tin oxide, in order to sensitize the locations of the sensor array to one or more predetermined characteristics of the smell.
When the smell passes over the sensor array, the locations at the various locations of the sensor array are excited at various levels in accordance with their composition. The smell in this way is mapped by the sensor array at process block 148.
At process block 1 52, a neural network is utilized that has been trained to identify the unique mappings emanating from each smell when the molecules of a specific smell are passed over the sensor array. The identified smell by the neural network is digitized and stored in a computer file at process block 1 56 before terminating at termination block 1 60.
Figure 5 shows an exemplary neural network that can be used to identify the smells from the smell recorder. Input layer nodes 1 84 receive data from the smell
recorder at inputs 1 80. Hidden layer nodes 1 88 are activated or deactivated based upon weights 1 86 as determined through prior training as well as by a predetermined function, such as a sigmoid function.
Output layer nodes 1 92 process the results of hidden layer 1 88 in accordance with their own trained weights 1 90 and their own predetermined function. The output of output layer nodes 1 92 is the identified smell which is then converted into the data necessary to complete the data structure of Figure 6. The identified smell is then converted into data necessary to activate the cylinders of the smell emitter device as indicated by Figure 6.
Figure 6 depicts an exemplary smell data structure hierarchy 220. Smell data structure 220 includes sufficient information for the smell emitter to generate a simulated smell. A preferred embodiment of smell data structure 220 includes the activation time 224 for how long a cylinder that contains an aromatic gas should be activated in order to produce a simulated smell.
When two or more gas cylinders are used within the smell emitter, additional information is included in smell data structure 220. Such additional information includes cylinder identifier data 228 and activation sequence order dat 232. Cylinder identifier data 228 informs the smell emitter of which cylinder in the smell emitter should be activated. In the preferred embodiment, the gas cylinders can be activated simultaneously for their respective activation times, or can be activated in a sequence order as provided in the activation sequence order data 232.
If the smell emitter includes a mixing device (e.g ., a fan) for mixing the emitted gases from several gas cylinders, then mixing data 236 is provided to indicate when the mixing device is to be turned on and off. Mixing data 236 provides the present invention with a greater range of smells that can be combined in different ways.
Figure 7 is a flow chart depicting the operational steps for producing a simulated smell when the smell emitter uses one gas cylinder to simulate a smell. Start indication block 250 indicates that process block 254 is to be executed wherein smell data is received. Electrical control signals are produced by the smell emitter to open the solenoid valve of the cylinder as specified in the received smell
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data at process block 258. At process block 262, the solenoid valve is closed after a predetermined time as specified in the received smell data. Processing ends at termination block 266.
Figure 8 depicts the operational steps for emitting a simulated smell when two or more gas cylinders can be simultaneously or consecutively activated . Start indication block 280 indicates that process block 284 is to be executed wherein smell data is received by a smell emitter.
At process block 288, for each cylinder specified in the received smell data, the following process is performed: the solenoid valve of each specified cylinder is open for the duration provided in the received smell data (i.e., process block 292) . Concurrently with the operation of process block 288, process block 296 activates the fan in accordance with the mixing data contained in the received smell data. It should be understood that the present invention also includes not using a fan, but instead using a spray nozzle to produce the same effect.
Process block 298 deactivates the fan after the duration specified in the received smell data has elapsed. Processing ends at termination block 300.
Figure 9 depicts smell emitter device 56 that provides a smell in the form of an aromatic gas through holes generally depicted at 92. In one embodiment of the present invention, the aromatic gas is dissolved in a solvent and stored under pressure in gas cylinder 314a.
Gas cylinder 314a contains under high pressure an active ingredient which on release from cylinder 31 4a generates the desired smell dissolved in the solvent. Solenoid valve 31 8a controls the release of the aromatic gas from cylinder 31 4a to outside the smell emitter device 56. Solenoid valve 31 8a operates upon activation signals from controller 322. The activation of solenoid valve 31 8a is preferably a mechanical activation, but also includes electronic or the pneumatic activation as well.
Controller 322 receives the electrical control signals from computer 326. Computer 326 generates the electrical control signals based upon smell data that computer 326 has obtained via Internet 68.
In one embodiment of the present invention, smell emitter device 56 generates only one type of aroma from one cylinder. However, the present
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invention also includes utilizing a number of cylinders that contain different types of gases. For example, cylinders 31 4a, 314b, 31 4c, 31 4d and 314e are stacked alongside each other either vertically (as shown in Figure 9) or horizontally. Depending on the type of smell that needs to be released from smell emitter device 56, the solenoid of the cylinder that contains the smell to be released is activated.
In the preferred embodiment, smell emitter device 56 includes the capability of activating the solenoid valves of the cylinders either concurrently or sequentially in order to produce a desired composite smell. The combination of the gases stored in certain predetermined amounts in the cylinders is used to generate a particular composite smell. Moreover, the present invention includes storing not just gases under pressure, but also aromatic solvents under pressure. A fan 329 is preferably provided to ensure better mixing of the gases and to circulate the emitted smell to the user.
From the different gas cylinders with various compounds, certain predetermined amounts can be released. The released predetermined amounts generate the desired aroma.
Figure 1 0 depicts an embodiment of the present invention which recognizes predetermined key sounds, terms, or phrases from such devices as a radio or television (or any electronic sound-emitting device) in order to emit appropriate smells. A voice or sound recognition system 364 utilizes speech or sound recognition algorithms to determine if a key sound, term, or phrase has been emitted by radio 360. For example, the simulated smell 28 of pizza is produced when system 364 determines that the key term "Pizza" has been emitted by radio 360.
For speech recognition capability, system 364 preferably employs speech recognition technology as provided in the speech recognition software products by the Dragon Systems company. Such technology preferably utilizes Hidden Markov Modeling (HMM) as described, for example, on pages 90-1 02 in the following text book: Robustness in Automatic Speech Recognition, by Jean-Claude Junqua and Jean-Paul Haton (Kluwer Academic Publishers, Norwell, Massachusetts, 1 996) . For sound recognition capability, system 364 preferably checks whether a certain pattern of frequencies has occurred.
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However, it must be understood that the present invention is not limited to only these speech and sound recognition techniques, but includes such other techniques as the use of neural networks to recognize speech and sounds.
System 364 includes a smell data generator 369 which preferably utilizes database 370 to store a list of key sounds, terms or phrases. Smell recorder 32 is used to store smell data which is then associated in database 370 with predetermined key speech terms, phrases, or sounds.
Using the smell data generator 369, system 364 searches database 370 to determine whether any of the detected words or sounds correspond to any of the key sounds, terms or phrases in database 370. If one or more correspondences do exist, then system 364 retrieves from database 370 the digitized smell data that corresponds to the detected key sound, term or phrase. System 364 sends the retrieved digitized smell data 374 to smell emitter device 56 in order to emit simulated smell 28.
Figure 1 1 depicts the operational steps when the present invention utilizes speech or sound recognition technology. Start block 390 indicates that process block 394 is to be executed wherein voice or sound is emitted by a radio (or a television) . At process block 398, a voice recognition algorithm (or sound recognition algorithm) is performed, such as a Hidden Markov Modeling algorithm.
Process block 402 scans database 370 (not depicted here) based upon the recognized terms or sounds. Decision block 406 determines whether the recognized sounds, terms, or phrases correspond to any key sounds, terms, or phrases in database 370. If there are no matches, then processing continues at block 394. However, if a match is found, then processing continues at process block 410.
Process block 41 0 retrieves from database 370 the digitized smell data that corresponds to the detected key sound, term or phrase. The retrieved digitized smell data is sent to a smell emitter device wherein process block 41 4 is executed.
At process block 414, for each cylinder specified in the received smell data, the following process is performed: the solenoid valve of each specified cylinder is open for the duration provided in the received smell data (i.e., process block 41 6) . Concurrently with the operation of process block 414, process block 420 activates
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the fan in accordance with the mixing data contained in the received smell data. Process block 424 deactivates the fan after the duration specified in the received smell data has elapsed. Processing ends at termination block 428.
Figure 1 2 depicts an embodiment of the present invention operating within an ATM machine 452 which would, for example, be provided in proximity to a banking institution. This embodiment includes utilizing a button 456 that indicates that if it is depressed that a desired smell would be released . Computer 326 in this embodiment would release the correct smell based upon detecting that button 456 has been depressed.
Figure 1 3 depicts a scenario flow for operating the present invention within an ATM environment. A first ATM screen 473 provides a user with the question of whether the user would like to see an advertisement and waive the ATM transactional fee. If the user selects button 475, then at process block 477 the user is charged the ATM transactional fee after the transaction has completed. Processing ends at termination block 479.
If the user selects button 456, then an advertisement (such as an advertisement for a pizza company) is displayed on a second ATM screen 481 . The advertisement could include both audio and video that describes the product. While the advertisement is being displayed on the second ATM screen 481 , a smell is generated at process block 483 in accordance with the teachings of the present invention. After the advertisement has been displayed for a predetermined time, then the user proceeds with the ATM transaction at process block 485. Processing ends at termination block 479.
While the above-detailed description describes the preferred embodiment of the present invention, the invention is susceptible to modification, variation and alteration without deviating from the scope and fair meaning of the subjoined claims. For example, the present invention can be utilized with videotapes that are to be played on videocassette recorders (VCRs) . In that implementation, simulated smells would be emitted according to the smell data that is stored on the videotape. Moreover, the present invention also includes being utilized within cable boxes.
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Also, companies can program a television or radio remote controller to operate either the television or radio in conjunction with the present invention. For example, the present invention can include a user defined control, such as a manual mode, on the remote controller which allows a user to smell an aroma independent of whether an advertisement is present. If the remote is set to automatic or to another mode, then the smells can be emitted based upon whether an advertisement is present.
In general, the present invention improves the effectiveness of advertising via computers (e.g ., Internet, Web TV, etc.), televisions, radio, cable TV, ATM machines and other stand-alone electronic devices.