US20170228030A1 - Methods, Systems, and Products for Gesture-Activation - Google Patents
Methods, Systems, and Products for Gesture-Activation Download PDFInfo
- Publication number
- US20170228030A1 US20170228030A1 US15/494,588 US201715494588A US2017228030A1 US 20170228030 A1 US20170228030 A1 US 20170228030A1 US 201715494588 A US201715494588 A US 201715494588A US 2017228030 A1 US2017228030 A1 US 2017228030A1
- Authority
- US
- United States
- Prior art keywords
- controller
- gesture
- image
- operations
- appliance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C7/00—Stoves or ranges heated by electric energy
- F24C7/08—Arrangement or mounting of control or safety devices
- F24C7/082—Arrangement or mounting of control or safety devices on ranges, e.g. control panels, illumination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
-
- G06K9/00335—
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/4104—Peripherals receiving signals from specially adapted client devices
- H04N21/4131—Peripherals receiving signals from specially adapted client devices home appliance, e.g. lighting, air conditioning system, metering devices
-
- H05B37/0227—
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
- H05B47/12—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by detecting audible sound
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
- H05B47/125—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by using cameras
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Definitions
- the present invention relates to gesture recognition systems. More particularly, the present invention relates to systems and methods for operating a home appliance using gesture recognition.
- Voice activated technology is a rapidly developing area of the computer world.
- many devices incorporate voice activation technology so certain functions of the device can be performed based on voice commands.
- many home appliances are equipped with voice-activated technology as to allow a consumer to orally command, for example, a lighting system to power on by using voice commands.
- voice-activated technology as to allow a consumer to orally command, for example, a lighting system to power on by using voice commands.
- voice-activated technology is particularly advantageous when a person cannot manually activate a device because their hands are occupied or the device switch is in an inconvenient place.
- voice activated technology For example, one may be carrying groceries into a house and is unable to manually activate the light switch, consequently, if the lighting system in the house has voice activated technology therein, the person may simply say, for example, “lights on” to activate the lights. This technology saves the person the trouble from having to put the groceries down, manually activate the lights, and then pick up the groceries.
- voice-activated technology presumes that the user is able to speak. Consequently, those persons who cannot speak cannot take advantage of voice-activated technology.
- Gesture recognition is another rapidly developing area in the computer world. Gesture recognition is not based on voice commands but, rather, allows a device to recognize certain gestures. The inventors, however, are not aware of any gesture recognition systems that are used in conjunction with the operation of home appliances. Therefore, there is a need for systems and methods that use gesture recognition to operate home appliances.
- an apparatus recognizes a gesture and then causes a home appliance operation associated with the gesture to be performed. For example, a first gesture might be associated with powering on a home appliance and a second gesture might be associated with powering off the home appliance. In this manner, a user can simply gesticulate to operate a home appliance rather than operating the appliance manually.
- Apparatus according to the invention for operating a home appliance can include an image receiver, an image processor, an operations processor, and an appliance controller.
- the image receiver which can be a video camera, for example, receives a continuous stream of images of a gesture performed within the image receiver's field of view and provides a video signal to the image processor.
- the video signal contains information corresponding to the continuous stream of gesture images.
- the image processor receives the video signal and recognizes the gesture based on the information contained in the video signal.
- the image processor can include an image sampler and an image comparator.
- the image sampler can be used for sampling the continuous stream of gesture images to form a discrete sequence of gesture images.
- the image comparator can then compare the discrete sequence of gesture images to each of one or more stored discrete gesture sequences, and recognize the gesture based on the comparison.
- the operations processor is coupled to the image processor for identifying a home appliance operation associated with the gesture.
- the operations processor can identify the home appliance operation by comparing the recognized gesture with each of a predefined set of gestures. Each of the predefined gestures is associated with a respective home appliance operation.
- the appliance controller is coupled to the operations processor for causing the home appliance operation to be performed.
- the apparatus can include a switch that is coupled to the appliance controller and is adapted to be coupled to the home appliance.
- the switch is responsive to the appliance controller for causing the home appliance operation to be performed.
- the appliance controller can be a voltage generator for generating a voltage signal, or a pulse generator for generating a voltage pulse, that causes the home appliance operation to be performed.
- the apparatus can also include a performance indicator for providing an indication that the home appliance operation has been performed.
- a data store readable by the image process, or storing data representative of the gesture and of the home appliance operation.
- FIG. 1 is a block diagram of a device used to operate a home appliance in accordance with the present invention
- FIGS. 2A and 2B illustrate the device of FIG. 1 connected to home appliances
- FIG. 3 is flowchart illustrating a method of operating a home appliance in accordance with the present invention.
- the present invention is directed to systems and methods for operating a home appliance using the principles of gesture recognition technology.
- a person may turn on an oven, for example, by performing a recognizable gesture associated with turning on the oven.
- the person may also turn off the oven, set the oven temperature, turn on the oven light, or cause the oven to perform any other operation by performing a gesture associated with respective operation. Consequently, a user can gesticulate to operate a home appliance rather than manually activate a switch or a button to operate the home appliance.
- the present invention relates to apparatuses and methods for operating a home appliance.
- the apparatus may be a computer, in whole or in part, specially constructed to perform the method of the invention, or it may be a general purpose computer selectively activated or reconfigured by a computer program stored in the computer.
- General purpose computing machines may be used with programs written in accordance with the teachings herein, or a specialized computing apparatus may be constructed to perform the method described herein.
- FIG. 1 is a block diagram of a device 100 for operating a home appliance (not shown) using gesture recognition in accordance with the present invention.
- the device 100 includes an image receiver 110 for receiving a continuous stream of gesture images.
- the image receiver 110 may be any PC-based camera or the like without departing from the principles of the present invention.
- the image receiver 110 transmits the video signals to an image processor 120 by way of a cable 112 .
- the video signals may be sent in any format such as, for example, MPEG3 format or the like without departing from the principles of the present invention.
- the image processor 120 forms a discrete sequence of gesture images based on the continuous stream of gesture images it receives from the image recover 110 .
- the image processor contains an image sampler 120 A for forming a discrete sequence of gesture images from the received gesture images by sampling the continuous stream of images.
- the image sampler 120 A segments the continuous stream of images into a series of frames or “snapshots”.
- the image processor 120 also derives positional data of the gestures in each frame, and compiles the positional data into a respective frame data set.
- the positional data in the frame data set is compared, in the image comparator 120 B, to each of a set of stored sequences of positional data making up one or more recognizable gestures i.e., gestures already known to the system.
- Any gesture such as, for example, a gesture associated with American Sign Language can be stored in a data store 150 .
- the comparator 120 B can search the data store 150 to match the received gesture with a stored gesture by using the positional data of the data frame set of the received gesture to the positional data of one of the known sequences stored in the data store 150 .
- the image comparator 120 B determines whether the user within the field of view 115 of the image receiver 110 has performed a recognizable gesture.
- the image receiver 110 can receive a continuous image of a gesture, which can be, for example, a person moving an arm horizontally across the chest.
- the image sampler 120 A segments the gesture into frames.
- the image processor 120 then obtains positional data from each frame of the gesture sequence and compiles the data in a data frame set.
- the image comparator 120 B compares the positional data of the data frame set to the positional data of the recognizable gestures stored in the database.
- an operations processor 130 connected to the image processor 120 identifies a predefined home appliance operation associated with the recognized gesture.
- the operations processor 130 determines, based on the recognized gesture, which of a plurality of predefined home appliance operations is to be performed. In this manner, the operations processor can access the data store 150 to determine the predefined home appliance operation associated with the recognized gesture.
- one recognizable gesture 116 might include motioning the letter “z” with the index finger of the hand.
- the operations processor 130 searches the data store 150 to determine which home appliance operation is associated with motioning the letter “z” with the index finger. For example, this gesture might be associated with turning on the appliance.
- Another recognizable gesture such as moving one arm horizontally across the chest, for example, might be associated with turning off the home appliance.
- An appliance controller 140 is connected to the operations processor 130 for causing the predefined home appliance operation to be performed.
- the appliance controller is connected to a switch 180 .
- the appliance controller 140 can be configured to transmit an electrical signal that actuates switch 180 that turns on the appliance. Consequently, the appliance controller 140 is configured to actuate the power switch 180 that turns on the appliance if the gesture associated with powering on the appliance is performed and recognized by the device 100 .
- the appliance controller 140 may be a voltage generator for generating a voltage signal that actuates the power switch 180 .
- the appliance controller 140 can be a pulse generator for generating a voltage pulse to actuate a switch 180 that may or may not be located within the appliance.
- the device 100 in accordance with the present invention can also include a performance indicator 160 , such as, for example, a sound generator connected to the appliance controller 140 .
- the performance indicator 160 indicates the predefined home appliance operation has been performed.
- the performance indicator 160 is a sound generator that emits, in response to the appliance controller 140 causing the predefined home appliance operation to be performed, a sound to notify the user that the home appliance operation has occurred. This method of indication is particular useful if the home appliance operation cannot be visually verified, e.g. turning on an oven or the like.
- each home appliance operation is associated with a different audible sound. For example, immediately after turning on the appliance, the sound generator may emit a single beep. Conversely, immediately after turning off the appliance, the sound generator may emit a double beep. This notification method provides the user with an audible indication of what particular home appliance operation has been performed.
- FIGS. 2A and 2B each illustrates the apparatus of FIG. 1 connected to a home appliance.
- lighting system 220 is connected to an apparatus 100 in accordance with the present invention.
- the apparatus 100 receives images by way of image receiver 110 and transmits the images to an image processor 120 through cable 112 .
- the image processor 120 recognizes a sequence of gesture images based on the stream of gesture images received by the image receiver 110 .
- an operations processor 130 connected to the image processor 120 identifies a predefined home appliance operation associated with that recognized gesture.
- An appliance controller 140 is connected to the operations processor 130 for causing the predefined home appliance operation to be performed. In this manner, for example, if the home appliance operation is turning on the lighting system 220 , the appliance controller 140 is configured to turn on the lighting system 320 using switch 229 . Consequently, the appliance controller 140 transmits a signal by way of cable 230 to the lighting system 220 if the gesture associated with powering on the lighting system 220 is performed and recognized.
- a performance indicator 160 connected to the appliance controller 140 emits, in response to the appliance controller 140 turning on the lighting system 220 , an indication to notify the user that the lighting system 220 is on.
- an oven 260 is connected to an apparatus 100 in accordance with the present invention by cable 265 .
- the apparatus 100 receives images of a gesture 116 by way of image receiver 110 and transmits the images to image processor 120 through cable 112 .
- Image processor 120 recognizes a sequence of gesture images based on the stream of gesture images received by the image receiver 110 .
- an operations processor 130 connected to the image processor 120 identifies which predefined home appliance operation is associated with the recognized gesture.
- An appliance controller 140 is connected to the operations processor 130 for causing the predefined home appliance operation associated with the recognized gesture to be performed. In this manner, for example, if the home appliance operation is turning off the oven 260 , the appliance controller 140 is configured to turn off the oven 260 by way of switch 264 . Consequently, the appliance controller 140 causes the oven 260 to be turned on if the gesture associated with powering on the oven 260 is performed and recognized.
- a performance indicator 160 connected to the appliance controller 140 indicates, after the appliance controller 140 is turned on, that the oven 260 is on.
- the operations processor 130 can also include programming and logic that enable it to provide more sophisticated signals to the home appliance.
- the operations processor can be programmed to send any of a number of various signals to the oven, thereby causing the oven to perform any number of operations.
- a first recognizable gesture can be associated with turning the oven on
- a second gesture can be associated with setting the oven temperature
- a third gesture can be associated with setting a cooking timer
- a fourth gesture can be associated with turning on the oven's internal light
- a fifth gesture can be associated with turning the oven off.
- Each such recognizable gesture would be associated with the corresponding operation in the system's data store.
- the operations processor can send a signal to the oven's computer that emulates the signal the oven's computer would have received is the user had pushed the appropriate buttons on the oven itself. For example, pushing the oven on button might cause a certain signal to be sent to the oven's computer. The oven's computer then turn the oven on. Accordingly, the operations processor of the invention can send the same signal directly to the oven's computer, thereby causing the oven's computer to turn the oven on.
- FIG. 3 is flowchart illustrating a method of operating a home appliance in accordance with the present invention.
- a user performs a gesture within the field of view of an image receiver, such as a camera.
- the image receiver receives a continuous stream of gesture images at step 300 .
- the system uses the continuous image stream to determine whether the gesture that the user is making is one of a set of one or more recognizable gestures.
- the gesture is recognized by first forming a discrete sequence of gesture images from the continuous image stream at step 310 .
- the discrete sequence of gesture images is compared, at step 320 , to a set of one or more stored sequences of discrete gesture images. Based on the comparison, the system determines, at step 330 , whether the performed gesture is one of the set of recognizable gestures.
- the recognized gesture is identified with a predefined home appliance operation.
- the recognized gesture is compared to a set of stored gestures, each gesture being associated with a predefined home appliance operation. Once the predefined operation identified with the recognized gesture is found, the system causes the predefined home appliance operation to be performed at step 350 .
- an indication can be provided to indicate to the user that the operation has been performed.
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Automation & Control Theory (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- User Interface Of Digital Computer (AREA)
- Image Analysis (AREA)
Abstract
Description
- This application is a continuation of U.S. application Ser. No. 14/689,082 filed Apr. 17, 2015 and since issued as U.S. Pat. No. ______, which is a continuation of U.S. application Ser. No. 13/896,446 filed May 17, 2013 and since issued as U.S. Pat. No. 9,025,812, which is a continuation of U.S. application Ser. No. 13/304,434 filed Nov. 25, 2011 and since issued as U.S. Pat. No. 8,467,568, which is a continuation of U.S. application Ser. No. 12/695,254 filed Jan. 28, 2010 and since issued as U.S. Pat. No. 8,085,977, which is a continuation of U.S. application Ser. No. 12/247,244 filed Oct. 8, 2008 and since issued as U.S. Pat. No. 7,680,298, which is a continuation of U.S. application Ser. No. 11/788,212 filed Apr. 19, 2007 and since issued as U.S. Pat. No. 7,444,001, which is a continuation of U.S. application Ser. No. 11/206,432 filed Aug. 18, 2005 and since issued as U.S. Pat. No. 7,236,611, which is a continuation of U.S. application Ser. No. 09/965,906 filed Sep. 28, 2001 and since issued as U.S. Pat. No. 6,937,742, with all applications incorporated herein by reference in their entireties.
- The present invention relates to gesture recognition systems. More particularly, the present invention relates to systems and methods for operating a home appliance using gesture recognition.
- Voice activated technology is a rapidly developing area of the computer world. Today, many devices incorporate voice activation technology so certain functions of the device can be performed based on voice commands. For example, many home appliances are equipped with voice-activated technology as to allow a consumer to orally command, for example, a lighting system to power on by using voice commands. Such a feature is particularly advantageous when a person cannot manually activate a device because their hands are occupied or the device switch is in an inconvenient place.
- For example, one may be carrying groceries into a house and is unable to manually activate the light switch, consequently, if the lighting system in the house has voice activated technology therein, the person may simply say, for example, “lights on” to activate the lights. This technology saves the person the trouble from having to put the groceries down, manually activate the lights, and then pick up the groceries. The ability to use voice-activated technology, of course, presumes that the user is able to speak. Consequently, those persons who cannot speak cannot take advantage of voice-activated technology.
- Gesture recognition is another rapidly developing area in the computer world. Gesture recognition is not based on voice commands but, rather, allows a device to recognize certain gestures. The inventors, however, are not aware of any gesture recognition systems that are used in conjunction with the operation of home appliances. Therefore, there is a need for systems and methods that use gesture recognition to operate home appliances.
- The present invention satisfies the aforementioned need by providing systems and methods for using gesture recognition to operate a home appliance. In one embodiment of the present invention, an apparatus recognizes a gesture and then causes a home appliance operation associated with the gesture to be performed. For example, a first gesture might be associated with powering on a home appliance and a second gesture might be associated with powering off the home appliance. In this manner, a user can simply gesticulate to operate a home appliance rather than operating the appliance manually.
- Apparatus according to the invention for operating a home appliance can include an image receiver, an image processor, an operations processor, and an appliance controller. The image receiver, which can be a video camera, for example, receives a continuous stream of images of a gesture performed within the image receiver's field of view and provides a video signal to the image processor. The video signal contains information corresponding to the continuous stream of gesture images. The image processor receives the video signal and recognizes the gesture based on the information contained in the video signal.
- The image processor can include an image sampler and an image comparator. The image sampler can be used for sampling the continuous stream of gesture images to form a discrete sequence of gesture images. The image comparator can then compare the discrete sequence of gesture images to each of one or more stored discrete gesture sequences, and recognize the gesture based on the comparison.
- The operations processor is coupled to the image processor for identifying a home appliance operation associated with the gesture. The operations processor can identify the home appliance operation by comparing the recognized gesture with each of a predefined set of gestures. Each of the predefined gestures is associated with a respective home appliance operation.
- The appliance controller is coupled to the operations processor for causing the home appliance operation to be performed. The apparatus can include a switch that is coupled to the appliance controller and is adapted to be coupled to the home appliance. The switch is responsive to the appliance controller for causing the home appliance operation to be performed. The appliance controller can be a voltage generator for generating a voltage signal, or a pulse generator for generating a voltage pulse, that causes the home appliance operation to be performed.
- The apparatus can also include a performance indicator for providing an indication that the home appliance operation has been performed. A data store, readable by the image process, or storing data representative of the gesture and of the home appliance operation.
- Other features of the present invention are further apparent from the following detailed description of the embodiments of the present invention taken in conjunction with the accompanying drawings, of which:
-
FIG. 1 is a block diagram of a device used to operate a home appliance in accordance with the present invention; -
FIGS. 2A and 2B illustrate the device ofFIG. 1 connected to home appliances; and -
FIG. 3 is flowchart illustrating a method of operating a home appliance in accordance with the present invention. - The present invention is directed to systems and methods for operating a home appliance using the principles of gesture recognition technology. In this manner, a person may turn on an oven, for example, by performing a recognizable gesture associated with turning on the oven. Similarly, the person may also turn off the oven, set the oven temperature, turn on the oven light, or cause the oven to perform any other operation by performing a gesture associated with respective operation. Consequently, a user can gesticulate to operate a home appliance rather than manually activate a switch or a button to operate the home appliance.
- The present invention relates to apparatuses and methods for operating a home appliance. The apparatus may be a computer, in whole or in part, specially constructed to perform the method of the invention, or it may be a general purpose computer selectively activated or reconfigured by a computer program stored in the computer. General purpose computing machines may be used with programs written in accordance with the teachings herein, or a specialized computing apparatus may be constructed to perform the method described herein.
-
FIG. 1 is a block diagram of adevice 100 for operating a home appliance (not shown) using gesture recognition in accordance with the present invention. As shown, thedevice 100 includes animage receiver 110 for receiving a continuous stream of gesture images. Theimage receiver 110 may be any PC-based camera or the like without departing from the principles of the present invention. Theimage receiver 110 transmits the video signals to animage processor 120 by way of acable 112. The video signals may be sent in any format such as, for example, MPEG3 format or the like without departing from the principles of the present invention. - The
image processor 120 forms a discrete sequence of gesture images based on the continuous stream of gesture images it receives from the image recover 110. In this manner and in one embodiment of the present invention, the image processor contains animage sampler 120A for forming a discrete sequence of gesture images from the received gesture images by sampling the continuous stream of images. In other words, theimage sampler 120A segments the continuous stream of images into a series of frames or “snapshots”. - The
image processor 120 also derives positional data of the gestures in each frame, and compiles the positional data into a respective frame data set. The positional data in the frame data set is compared, in theimage comparator 120B, to each of a set of stored sequences of positional data making up one or more recognizable gestures i.e., gestures already known to the system. Any gesture, such as, for example, a gesture associated with American Sign Language can be stored in adata store 150. In this regard, thecomparator 120B can search thedata store 150 to match the received gesture with a stored gesture by using the positional data of the data frame set of the received gesture to the positional data of one of the known sequences stored in thedata store 150. Theimage comparator 120B, based on the comparison, determines whether the user within the field ofview 115 of theimage receiver 110 has performed a recognizable gesture. - Thus, the
image receiver 110 can receive a continuous image of a gesture, which can be, for example, a person moving an arm horizontally across the chest. Theimage sampler 120A segments the gesture into frames. Theimage processor 120 then obtains positional data from each frame of the gesture sequence and compiles the data in a data frame set. Then, theimage comparator 120B compares the positional data of the data frame set to the positional data of the recognizable gestures stored in the database. - Once a gesture is recognized (i.e., the system determines that the received image corresponds to a recognizable gesture), an
operations processor 130 connected to theimage processor 120 identifies a predefined home appliance operation associated with the recognized gesture. In one embodiment of the present invention, theoperations processor 130 determines, based on the recognized gesture, which of a plurality of predefined home appliance operations is to be performed. In this manner, the operations processor can access thedata store 150 to determine the predefined home appliance operation associated with the recognized gesture. - As shown and for example, one
recognizable gesture 116 might include motioning the letter “z” with the index finger of the hand. In this regard, once thedevice 100 recognizes this gesture, theoperations processor 130 searches thedata store 150 to determine which home appliance operation is associated with motioning the letter “z” with the index finger. For example, this gesture might be associated with turning on the appliance. Another recognizable gesture, such as moving one arm horizontally across the chest, for example, might be associated with turning off the home appliance. - An
appliance controller 140 is connected to theoperations processor 130 for causing the predefined home appliance operation to be performed. In one embodiment of the present invention, the appliance controller is connected to aswitch 180. In this manner, for example, if the predefined home appliance operation is turning on the appliance, theappliance controller 140 can be configured to transmit an electrical signal that actuatesswitch 180 that turns on the appliance. Consequently, theappliance controller 140 is configured to actuate thepower switch 180 that turns on the appliance if the gesture associated with powering on the appliance is performed and recognized by thedevice 100. In this regard, theappliance controller 140 may be a voltage generator for generating a voltage signal that actuates thepower switch 180. Alternatively, theappliance controller 140 can be a pulse generator for generating a voltage pulse to actuate aswitch 180 that may or may not be located within the appliance. - The
device 100 in accordance with the present invention can also include aperformance indicator 160, such as, for example, a sound generator connected to theappliance controller 140. Theperformance indicator 160 indicates the predefined home appliance operation has been performed. In one embodiment of the present invention, theperformance indicator 160 is a sound generator that emits, in response to theappliance controller 140 causing the predefined home appliance operation to be performed, a sound to notify the user that the home appliance operation has occurred. This method of indication is particular useful if the home appliance operation cannot be visually verified, e.g. turning on an oven or the like. - In one embodiment of the invention, each home appliance operation is associated with a different audible sound. For example, immediately after turning on the appliance, the sound generator may emit a single beep. Conversely, immediately after turning off the appliance, the sound generator may emit a double beep. This notification method provides the user with an audible indication of what particular home appliance operation has been performed.
-
FIGS. 2A and 2B each illustrates the apparatus ofFIG. 1 connected to a home appliance. As shown inFIG. 2A ,lighting system 220 is connected to anapparatus 100 in accordance with the present invention. As described above, theapparatus 100 receives images by way ofimage receiver 110 and transmits the images to animage processor 120 throughcable 112. Theimage processor 120 recognizes a sequence of gesture images based on the stream of gesture images received by theimage receiver 110. - Once a gesture is recognized, an
operations processor 130 connected to theimage processor 120 identifies a predefined home appliance operation associated with that recognized gesture. Anappliance controller 140 is connected to theoperations processor 130 for causing the predefined home appliance operation to be performed. In this manner, for example, if the home appliance operation is turning on thelighting system 220, theappliance controller 140 is configured to turn on thelighting system 320 usingswitch 229. Consequently, theappliance controller 140 transmits a signal by way ofcable 230 to thelighting system 220 if the gesture associated with powering on thelighting system 220 is performed and recognized. Aperformance indicator 160 connected to theappliance controller 140 emits, in response to theappliance controller 140 turning on thelighting system 220, an indication to notify the user that thelighting system 220 is on. - Similarly, as shown in
FIG. 2B , anoven 260 is connected to anapparatus 100 in accordance with the present invention bycable 265. Again, as described above, theapparatus 100 receives images of agesture 116 by way ofimage receiver 110 and transmits the images to imageprocessor 120 throughcable 112.Image processor 120 recognizes a sequence of gesture images based on the stream of gesture images received by theimage receiver 110. - Once a gesture is recognized, an
operations processor 130 connected to theimage processor 120 identifies which predefined home appliance operation is associated with the recognized gesture. Anappliance controller 140 is connected to theoperations processor 130 for causing the predefined home appliance operation associated with the recognized gesture to be performed. In this manner, for example, if the home appliance operation is turning off theoven 260, theappliance controller 140 is configured to turn off theoven 260 by way ofswitch 264. Consequently, theappliance controller 140 causes theoven 260 to be turned on if the gesture associated with powering on theoven 260 is performed and recognized. Aperformance indicator 160 connected to theappliance controller 140 indicates, after theappliance controller 140 is turned on, that theoven 260 is on. - The
operations processor 130 can also include programming and logic that enable it to provide more sophisticated signals to the home appliance. For example, where the home appliance is an oven, the operations processor can be programmed to send any of a number of various signals to the oven, thereby causing the oven to perform any number of operations. For example, a first recognizable gesture can be associated with turning the oven on, a second gesture can be associated with setting the oven temperature, a third gesture can be associated with setting a cooking timer, a fourth gesture can be associated with turning on the oven's internal light, and a fifth gesture can be associated with turning the oven off. Each such recognizable gesture would be associated with the corresponding operation in the system's data store. - Depending on the gesture the recognized, the operations processor can send a signal to the oven's computer that emulates the signal the oven's computer would have received is the user had pushed the appropriate buttons on the oven itself. For example, pushing the oven on button might cause a certain signal to be sent to the oven's computer. The oven's computer then turn the oven on. Accordingly, the operations processor of the invention can send the same signal directly to the oven's computer, thereby causing the oven's computer to turn the oven on.
-
FIG. 3 is flowchart illustrating a method of operating a home appliance in accordance with the present invention. In the method, a user performs a gesture within the field of view of an image receiver, such as a camera. Thus, the image receiver receives a continuous stream of gesture images atstep 300. The system uses the continuous image stream to determine whether the gesture that the user is making is one of a set of one or more recognizable gestures. In one embodiment of the present invention, the gesture is recognized by first forming a discrete sequence of gesture images from the continuous image stream atstep 310. Then, using positional data in a data frame set derived from each frame, the discrete sequence of gesture images is compared, atstep 320, to a set of one or more stored sequences of discrete gesture images. Based on the comparison, the system determines, atstep 330, whether the performed gesture is one of the set of recognizable gestures. - At
step 340, the recognized gesture is identified with a predefined home appliance operation. The recognized gesture is compared to a set of stored gestures, each gesture being associated with a predefined home appliance operation. Once the predefined operation identified with the recognized gesture is found, the system causes the predefined home appliance operation to be performed atstep 350. Atstep 360, an indication can be provided to indicate to the user that the operation has been performed. - Thus, there have been described systems and methods for operating a home appliance using gesture recognition technology. Though the invention has been described with reference to a device that is external and connectable to a home appliance, it is it contemplated that such a device may be integrated into such an appliance. Consequently, the device in accordance with the principles of the present invention should not be limited to a device that is separate from the home appliance. Those skilled in the art will appreciate that numerous other changes and modifications can be made to the preferred embodiments of the invention, and that such changes and modifications can be made without departing from the spirit of the invention. It is intended, therefore, that the appended claims cover all such equivalent variations as fall within the true spirit and scope of the invention.
Claims (20)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/494,588 US20170228030A1 (en) | 2001-09-28 | 2017-04-24 | Methods, Systems, and Products for Gesture-Activation |
Applications Claiming Priority (9)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/965,906 US6937742B2 (en) | 2001-09-28 | 2001-09-28 | Gesture activated home appliance |
US11/206,432 US7236611B2 (en) | 2001-09-28 | 2005-08-18 | Gesture activated home appliance |
US11/788,212 US7444001B2 (en) | 2001-09-28 | 2007-04-19 | Gesture activated home appliance |
US12/247,244 US7680298B2 (en) | 2001-09-28 | 2008-10-08 | Methods, systems, and products for gesture-activated appliances |
US12/695,254 US8085977B2 (en) | 2001-09-28 | 2010-01-28 | Methods, systems, and products for gesture-activation |
US13/304,434 US8467568B2 (en) | 2001-09-28 | 2011-11-25 | Methods, systems, and products for gesture-activation |
US13/896,446 US9025812B2 (en) | 2001-09-28 | 2013-05-17 | Methods, systems, and products for gesture-activation |
US14/689,082 US9659212B2 (en) | 2001-09-28 | 2015-04-17 | Methods, systems, and products for gesture-activation |
US15/494,588 US20170228030A1 (en) | 2001-09-28 | 2017-04-24 | Methods, Systems, and Products for Gesture-Activation |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/689,082 Continuation US9659212B2 (en) | 2001-09-28 | 2015-04-17 | Methods, systems, and products for gesture-activation |
Publications (1)
Publication Number | Publication Date |
---|---|
US20170228030A1 true US20170228030A1 (en) | 2017-08-10 |
Family
ID=25510654
Family Applications (9)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/965,906 Expired - Lifetime US6937742B2 (en) | 2001-09-28 | 2001-09-28 | Gesture activated home appliance |
US11/206,432 Expired - Lifetime US7236611B2 (en) | 2001-09-28 | 2005-08-18 | Gesture activated home appliance |
US11/788,212 Expired - Fee Related US7444001B2 (en) | 2001-09-28 | 2007-04-19 | Gesture activated home appliance |
US12/247,244 Expired - Fee Related US7680298B2 (en) | 2001-09-28 | 2008-10-08 | Methods, systems, and products for gesture-activated appliances |
US12/695,254 Expired - Fee Related US8085977B2 (en) | 2001-09-28 | 2010-01-28 | Methods, systems, and products for gesture-activation |
US13/304,434 Expired - Lifetime US8467568B2 (en) | 2001-09-28 | 2011-11-25 | Methods, systems, and products for gesture-activation |
US13/896,446 Expired - Lifetime US9025812B2 (en) | 2001-09-28 | 2013-05-17 | Methods, systems, and products for gesture-activation |
US14/689,082 Expired - Lifetime US9659212B2 (en) | 2001-09-28 | 2015-04-17 | Methods, systems, and products for gesture-activation |
US15/494,588 Abandoned US20170228030A1 (en) | 2001-09-28 | 2017-04-24 | Methods, Systems, and Products for Gesture-Activation |
Family Applications Before (8)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/965,906 Expired - Lifetime US6937742B2 (en) | 2001-09-28 | 2001-09-28 | Gesture activated home appliance |
US11/206,432 Expired - Lifetime US7236611B2 (en) | 2001-09-28 | 2005-08-18 | Gesture activated home appliance |
US11/788,212 Expired - Fee Related US7444001B2 (en) | 2001-09-28 | 2007-04-19 | Gesture activated home appliance |
US12/247,244 Expired - Fee Related US7680298B2 (en) | 2001-09-28 | 2008-10-08 | Methods, systems, and products for gesture-activated appliances |
US12/695,254 Expired - Fee Related US8085977B2 (en) | 2001-09-28 | 2010-01-28 | Methods, systems, and products for gesture-activation |
US13/304,434 Expired - Lifetime US8467568B2 (en) | 2001-09-28 | 2011-11-25 | Methods, systems, and products for gesture-activation |
US13/896,446 Expired - Lifetime US9025812B2 (en) | 2001-09-28 | 2013-05-17 | Methods, systems, and products for gesture-activation |
US14/689,082 Expired - Lifetime US9659212B2 (en) | 2001-09-28 | 2015-04-17 | Methods, systems, and products for gesture-activation |
Country Status (2)
Country | Link |
---|---|
US (9) | US6937742B2 (en) |
WO (1) | WO2003027942A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT201800009299A1 (en) * | 2018-10-09 | 2020-04-09 | Cover Sistemi Srl | A METHOD OF REGULATION OF ONE OR MORE DEVICES FOR DOMESTIC OR INDUSTRIAL USE |
Families Citing this family (320)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8352400B2 (en) | 1991-12-23 | 2013-01-08 | Hoffberg Steven M | Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore |
US7904187B2 (en) | 1999-02-01 | 2011-03-08 | Hoffberg Steven M | Internet appliance system and method |
US6937742B2 (en) * | 2001-09-28 | 2005-08-30 | Bellsouth Intellectual Property Corporation | Gesture activated home appliance |
DE10163214A1 (en) * | 2001-12-21 | 2003-07-10 | Philips Intellectual Property | Method and control system for voice control of a device |
US6990639B2 (en) | 2002-02-07 | 2006-01-24 | Microsoft Corporation | System and process for controlling electronic components in a ubiquitous computing environment using multimodal integration |
US8745541B2 (en) | 2003-03-25 | 2014-06-03 | Microsoft Corporation | Architecture for controlling a computer using hand gestures |
US7665041B2 (en) * | 2003-03-25 | 2010-02-16 | Microsoft Corporation | Architecture for controlling a computer using hand gestures |
DE10345063A1 (en) * | 2003-09-26 | 2005-04-28 | Abb Patent Gmbh | Motion detecting switch, switches consumer directly or via transmitter if sufficient similarity is found between actual movement and stored movement sequences |
US7136709B2 (en) * | 2003-11-04 | 2006-11-14 | Universal Electronics Inc. | Home appliance control system and methods in a networked environment |
US7903838B2 (en) * | 2004-01-30 | 2011-03-08 | Evolution Robotics, Inc. | Vision-enabled household appliances |
DE102004020824A1 (en) * | 2004-04-28 | 2005-12-01 | BSH Bosch und Siemens Hausgeräte GmbH | Adjusting device with an at least two-dimensional Sen-sorbereich |
US9155373B2 (en) * | 2004-08-02 | 2015-10-13 | Invention Science Fund I, Llc | Medical overlay mirror |
US20100231506A1 (en) * | 2004-09-07 | 2010-09-16 | Timothy Pryor | Control of appliances, kitchen and home |
JP4972084B2 (en) | 2005-04-22 | 2012-07-11 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | Method and system for controlling lighting |
TWI412392B (en) * | 2005-08-12 | 2013-10-21 | Koninkl Philips Electronics Nv | Interactive entertainment system and method of operation thereof |
EP2141568A1 (en) * | 2005-10-07 | 2010-01-06 | Research in Motion Limited | Portable electronic device including trackball unit and associated methods |
US7697827B2 (en) | 2005-10-17 | 2010-04-13 | Konicek Jeffrey C | User-friendlier interfaces for a camera |
US8549442B2 (en) * | 2005-12-12 | 2013-10-01 | Sony Computer Entertainment Inc. | Voice and video control of interactive electronically simulated environment |
ATE543132T1 (en) * | 2006-07-16 | 2012-02-15 | I Cherradi | FREE FINGER TIP TECHNOLOGY |
EP1968320B1 (en) * | 2007-02-27 | 2018-07-18 | Accenture Global Services Limited | Video call device control |
US8005238B2 (en) | 2007-03-22 | 2011-08-23 | Microsoft Corporation | Robust adaptive beamforming with enhanced noise suppression |
US8005237B2 (en) | 2007-05-17 | 2011-08-23 | Microsoft Corp. | Sensor array beamformer post-processor |
KR20090030902A (en) * | 2007-09-21 | 2009-03-25 | 엘지전자 주식회사 | Input apparatus of dish washer and controlling method for the same, input apparatus of laundry machine and controlling method for the same |
US8144780B2 (en) * | 2007-09-24 | 2012-03-27 | Microsoft Corporation | Detecting visual gestural patterns |
US8629976B2 (en) | 2007-10-02 | 2014-01-14 | Microsoft Corporation | Methods and systems for hierarchical de-aliasing time-of-flight (TOF) systems |
US8149210B2 (en) * | 2007-12-31 | 2012-04-03 | Microsoft International Holdings B.V. | Pointing device and method |
DE102008020772A1 (en) * | 2008-04-21 | 2009-10-22 | Carl Zeiss 3D Metrology Services Gmbh | Presentation of results of a measurement of workpieces |
JP4318056B1 (en) * | 2008-06-03 | 2009-08-19 | 島根県 | Image recognition apparatus and operation determination method |
US8385557B2 (en) | 2008-06-19 | 2013-02-26 | Microsoft Corporation | Multichannel acoustic echo reduction |
US8325909B2 (en) | 2008-06-25 | 2012-12-04 | Microsoft Corporation | Acoustic echo suppression |
US8203699B2 (en) | 2008-06-30 | 2012-06-19 | Microsoft Corporation | System architecture design for time-of-flight system having reduced differential pixel size, and time-of-flight systems so designed |
US7990421B2 (en) * | 2008-07-18 | 2011-08-02 | Sony Ericsson Mobile Communications Ab | Arrangement and method relating to an image recording device |
US8433138B2 (en) * | 2008-10-29 | 2013-04-30 | Nokia Corporation | Interaction using touch and non-touch gestures |
US8681321B2 (en) | 2009-01-04 | 2014-03-25 | Microsoft International Holdings B.V. | Gated 3D camera |
US8448094B2 (en) | 2009-01-30 | 2013-05-21 | Microsoft Corporation | Mapping a natural input device to a legacy system |
US8577085B2 (en) | 2009-01-30 | 2013-11-05 | Microsoft Corporation | Visual target tracking |
US8487938B2 (en) | 2009-01-30 | 2013-07-16 | Microsoft Corporation | Standard Gestures |
US8565476B2 (en) | 2009-01-30 | 2013-10-22 | Microsoft Corporation | Visual target tracking |
US7996793B2 (en) | 2009-01-30 | 2011-08-09 | Microsoft Corporation | Gesture recognizer system architecture |
US8565477B2 (en) | 2009-01-30 | 2013-10-22 | Microsoft Corporation | Visual target tracking |
US8294767B2 (en) | 2009-01-30 | 2012-10-23 | Microsoft Corporation | Body scan |
US8295546B2 (en) | 2009-01-30 | 2012-10-23 | Microsoft Corporation | Pose tracking pipeline |
US8267781B2 (en) | 2009-01-30 | 2012-09-18 | Microsoft Corporation | Visual target tracking |
US20100199231A1 (en) | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Predictive determination |
US8588465B2 (en) | 2009-01-30 | 2013-11-19 | Microsoft Corporation | Visual target tracking |
US8682028B2 (en) | 2009-01-30 | 2014-03-25 | Microsoft Corporation | Visual target tracking |
US8577084B2 (en) | 2009-01-30 | 2013-11-05 | Microsoft Corporation | Visual target tracking |
US8773355B2 (en) | 2009-03-16 | 2014-07-08 | Microsoft Corporation | Adaptive cursor sizing |
US9256282B2 (en) | 2009-03-20 | 2016-02-09 | Microsoft Technology Licensing, Llc | Virtual object manipulation |
US8988437B2 (en) | 2009-03-20 | 2015-03-24 | Microsoft Technology Licensing, Llc | Chaining animations |
US9313376B1 (en) | 2009-04-01 | 2016-04-12 | Microsoft Technology Licensing, Llc | Dynamic depth power equalization |
DE102009016918A1 (en) * | 2009-04-08 | 2010-10-14 | Osram Gesellschaft mit beschränkter Haftung | Lighting device for use in building, has illuminant and control device for receiving input signal and for controlling illuminant depending on input signal |
US8181123B2 (en) | 2009-05-01 | 2012-05-15 | Microsoft Corporation | Managing virtual port associations to users in a gesture-based computing environment |
US9498718B2 (en) | 2009-05-01 | 2016-11-22 | Microsoft Technology Licensing, Llc | Altering a view perspective within a display environment |
US8253746B2 (en) | 2009-05-01 | 2012-08-28 | Microsoft Corporation | Determine intended motions |
US8649554B2 (en) | 2009-05-01 | 2014-02-11 | Microsoft Corporation | Method to control perspective for a camera-controlled computer |
US8340432B2 (en) | 2009-05-01 | 2012-12-25 | Microsoft Corporation | Systems and methods for detecting a tilt angle from a depth image |
US9015638B2 (en) | 2009-05-01 | 2015-04-21 | Microsoft Technology Licensing, Llc | Binding users to a gesture based system and providing feedback to the users |
US9898675B2 (en) | 2009-05-01 | 2018-02-20 | Microsoft Technology Licensing, Llc | User movement tracking feedback to improve tracking |
US9377857B2 (en) | 2009-05-01 | 2016-06-28 | Microsoft Technology Licensing, Llc | Show body position |
US8638985B2 (en) | 2009-05-01 | 2014-01-28 | Microsoft Corporation | Human body pose estimation |
US8503720B2 (en) | 2009-05-01 | 2013-08-06 | Microsoft Corporation | Human body pose estimation |
US8942428B2 (en) | 2009-05-01 | 2015-01-27 | Microsoft Corporation | Isolate extraneous motions |
US8660303B2 (en) | 2009-05-01 | 2014-02-25 | Microsoft Corporation | Detection of body and props |
US20100295782A1 (en) | 2009-05-21 | 2010-11-25 | Yehuda Binder | System and method for control based on face ore hand gesture detection |
US9417700B2 (en) | 2009-05-21 | 2016-08-16 | Edge3 Technologies | Gesture recognition systems and related methods |
US9182814B2 (en) | 2009-05-29 | 2015-11-10 | Microsoft Technology Licensing, Llc | Systems and methods for estimating a non-visible or occluded body part |
US8379101B2 (en) | 2009-05-29 | 2013-02-19 | Microsoft Corporation | Environment and/or target segmentation |
US8693724B2 (en) | 2009-05-29 | 2014-04-08 | Microsoft Corporation | Method and system implementing user-centric gesture control |
US20100302365A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Depth Image Noise Reduction |
US8320619B2 (en) | 2009-05-29 | 2012-11-27 | Microsoft Corporation | Systems and methods for tracking a model |
US8509479B2 (en) | 2009-05-29 | 2013-08-13 | Microsoft Corporation | Virtual object |
US8418085B2 (en) | 2009-05-29 | 2013-04-09 | Microsoft Corporation | Gesture coach |
US9383823B2 (en) | 2009-05-29 | 2016-07-05 | Microsoft Technology Licensing, Llc | Combining gestures beyond skeletal |
US8542252B2 (en) | 2009-05-29 | 2013-09-24 | Microsoft Corporation | Target digitization, extraction, and tracking |
US8744121B2 (en) | 2009-05-29 | 2014-06-03 | Microsoft Corporation | Device for identifying and tracking multiple humans over time |
US8856691B2 (en) | 2009-05-29 | 2014-10-07 | Microsoft Corporation | Gesture tool |
US8625837B2 (en) | 2009-05-29 | 2014-01-07 | Microsoft Corporation | Protocol and format for communicating an image from a camera to a computing environment |
US9400559B2 (en) | 2009-05-29 | 2016-07-26 | Microsoft Technology Licensing, Llc | Gesture shortcuts |
US8487871B2 (en) | 2009-06-01 | 2013-07-16 | Microsoft Corporation | Virtual desktop coordinate transformation |
TWI458291B (en) * | 2009-06-22 | 2014-10-21 | Wistron Corp | Network control device with pictures and related method |
WO2011004135A1 (en) * | 2009-07-07 | 2011-01-13 | Elliptic Laboratories As | Control using movements |
US8390680B2 (en) | 2009-07-09 | 2013-03-05 | Microsoft Corporation | Visual representation expression based on player expression |
US9159151B2 (en) | 2009-07-13 | 2015-10-13 | Microsoft Technology Licensing, Llc | Bringing a visual representation to life via learned input from the user |
US8264536B2 (en) | 2009-08-25 | 2012-09-11 | Microsoft Corporation | Depth-sensitive imaging via polarization-state mapping |
US9141193B2 (en) | 2009-08-31 | 2015-09-22 | Microsoft Technology Licensing, Llc | Techniques for using human gestures to control gesture unaware programs |
US8508919B2 (en) | 2009-09-14 | 2013-08-13 | Microsoft Corporation | Separation of electrical and optical components |
US8330134B2 (en) | 2009-09-14 | 2012-12-11 | Microsoft Corporation | Optical fault monitoring |
US8760571B2 (en) | 2009-09-21 | 2014-06-24 | Microsoft Corporation | Alignment of lens and image sensor |
US8976986B2 (en) | 2009-09-21 | 2015-03-10 | Microsoft Technology Licensing, Llc | Volume adjustment based on listener position |
US8428340B2 (en) | 2009-09-21 | 2013-04-23 | Microsoft Corporation | Screen space plane identification |
US8843116B2 (en) | 2009-09-22 | 2014-09-23 | Microsoft Corporation | User-selectable environments for mobile communications devices |
US9014546B2 (en) | 2009-09-23 | 2015-04-21 | Rovi Guides, Inc. | Systems and methods for automatically detecting users within detection regions of media devices |
US20110074675A1 (en) * | 2009-09-29 | 2011-03-31 | Nokia Corporation | Method and apparatus for initiating a feature based at least in part on the tracked movement |
US8452087B2 (en) | 2009-09-30 | 2013-05-28 | Microsoft Corporation | Image selection techniques |
US8723118B2 (en) | 2009-10-01 | 2014-05-13 | Microsoft Corporation | Imager for constructing color and depth images |
US8963829B2 (en) | 2009-10-07 | 2015-02-24 | Microsoft Corporation | Methods and systems for determining and tracking extremities of a target |
US7961910B2 (en) | 2009-10-07 | 2011-06-14 | Microsoft Corporation | Systems and methods for tracking a model |
US8867820B2 (en) | 2009-10-07 | 2014-10-21 | Microsoft Corporation | Systems and methods for removing a background of an image |
US8564534B2 (en) | 2009-10-07 | 2013-10-22 | Microsoft Corporation | Human tracking system |
US9400548B2 (en) | 2009-10-19 | 2016-07-26 | Microsoft Technology Licensing, Llc | Gesture personalization and profile roaming |
CN102044128A (en) * | 2009-10-23 | 2011-05-04 | 鸿富锦精密工业(深圳)有限公司 | Emergency alarm system and method |
US8988432B2 (en) | 2009-11-05 | 2015-03-24 | Microsoft Technology Licensing, Llc | Systems and methods for processing an image for target tracking |
US8843857B2 (en) | 2009-11-19 | 2014-09-23 | Microsoft Corporation | Distance scalable no touch computing |
US9244533B2 (en) | 2009-12-17 | 2016-01-26 | Microsoft Technology Licensing, Llc | Camera navigation for presentations |
US20110150271A1 (en) | 2009-12-18 | 2011-06-23 | Microsoft Corporation | Motion detection using depth images |
US8320621B2 (en) | 2009-12-21 | 2012-11-27 | Microsoft Corporation | Depth projector system with integrated VCSEL array |
US20110162004A1 (en) * | 2009-12-30 | 2011-06-30 | Cevat Yerli | Sensor device for a computer-controlled video entertainment system |
US9268404B2 (en) | 2010-01-08 | 2016-02-23 | Microsoft Technology Licensing, Llc | Application gesture interpretation |
US9019201B2 (en) | 2010-01-08 | 2015-04-28 | Microsoft Technology Licensing, Llc | Evolving universal gesture sets |
US8631355B2 (en) | 2010-01-08 | 2014-01-14 | Microsoft Corporation | Assigning gesture dictionaries |
US8334842B2 (en) | 2010-01-15 | 2012-12-18 | Microsoft Corporation | Recognizing user intent in motion capture system |
US8933884B2 (en) | 2010-01-15 | 2015-01-13 | Microsoft Corporation | Tracking groups of users in motion capture system |
US8676581B2 (en) | 2010-01-22 | 2014-03-18 | Microsoft Corporation | Speech recognition analysis via identification information |
US8265341B2 (en) | 2010-01-25 | 2012-09-11 | Microsoft Corporation | Voice-body identity correlation |
US8864581B2 (en) | 2010-01-29 | 2014-10-21 | Microsoft Corporation | Visual based identitiy tracking |
US8891067B2 (en) | 2010-02-01 | 2014-11-18 | Microsoft Corporation | Multiple synchronized optical sources for time-of-flight range finding systems |
US8619122B2 (en) | 2010-02-02 | 2013-12-31 | Microsoft Corporation | Depth camera compatibility |
US8687044B2 (en) | 2010-02-02 | 2014-04-01 | Microsoft Corporation | Depth camera compatibility |
US8717469B2 (en) | 2010-02-03 | 2014-05-06 | Microsoft Corporation | Fast gating photosurface |
US8659658B2 (en) | 2010-02-09 | 2014-02-25 | Microsoft Corporation | Physical interaction zone for gesture-based user interfaces |
US8499257B2 (en) | 2010-02-09 | 2013-07-30 | Microsoft Corporation | Handles interactions for human—computer interface |
US20110199302A1 (en) * | 2010-02-16 | 2011-08-18 | Microsoft Corporation | Capturing screen objects using a collision volume |
US8633890B2 (en) | 2010-02-16 | 2014-01-21 | Microsoft Corporation | Gesture detection based on joint skipping |
US8928579B2 (en) | 2010-02-22 | 2015-01-06 | Andrew David Wilson | Interacting with an omni-directionally projected display |
US8655069B2 (en) | 2010-03-05 | 2014-02-18 | Microsoft Corporation | Updating image segmentation following user input |
US8422769B2 (en) | 2010-03-05 | 2013-04-16 | Microsoft Corporation | Image segmentation using reduced foreground training data |
US8411948B2 (en) | 2010-03-05 | 2013-04-02 | Microsoft Corporation | Up-sampling binary images for segmentation |
US20110223995A1 (en) | 2010-03-12 | 2011-09-15 | Kevin Geisner | Interacting with a computer based application |
US8279418B2 (en) | 2010-03-17 | 2012-10-02 | Microsoft Corporation | Raster scanning for depth detection |
US8213680B2 (en) | 2010-03-19 | 2012-07-03 | Microsoft Corporation | Proxy training data for human body tracking |
US8514269B2 (en) | 2010-03-26 | 2013-08-20 | Microsoft Corporation | De-aliasing depth images |
US8523667B2 (en) | 2010-03-29 | 2013-09-03 | Microsoft Corporation | Parental control settings based on body dimensions |
JP5743416B2 (en) * | 2010-03-29 | 2015-07-01 | ソニー株式会社 | Information processing apparatus, information processing method, and program |
US8605763B2 (en) | 2010-03-31 | 2013-12-10 | Microsoft Corporation | Temperature measurement and control for laser and light-emitting diodes |
US9646340B2 (en) | 2010-04-01 | 2017-05-09 | Microsoft Technology Licensing, Llc | Avatar-based virtual dressing room |
US9098873B2 (en) | 2010-04-01 | 2015-08-04 | Microsoft Technology Licensing, Llc | Motion-based interactive shopping environment |
US8351651B2 (en) | 2010-04-26 | 2013-01-08 | Microsoft Corporation | Hand-location post-process refinement in a tracking system |
US8379919B2 (en) | 2010-04-29 | 2013-02-19 | Microsoft Corporation | Multiple centroid condensation of probability distribution clouds |
US8284847B2 (en) | 2010-05-03 | 2012-10-09 | Microsoft Corporation | Detecting motion for a multifunction sensor device |
US8885890B2 (en) | 2010-05-07 | 2014-11-11 | Microsoft Corporation | Depth map confidence filtering |
US8498481B2 (en) | 2010-05-07 | 2013-07-30 | Microsoft Corporation | Image segmentation using star-convexity constraints |
US8457353B2 (en) | 2010-05-18 | 2013-06-04 | Microsoft Corporation | Gestures and gesture modifiers for manipulating a user-interface |
US8396252B2 (en) | 2010-05-20 | 2013-03-12 | Edge 3 Technologies | Systems and related methods for three dimensional gesture recognition in vehicles |
US8803888B2 (en) | 2010-06-02 | 2014-08-12 | Microsoft Corporation | Recognition system for sharing information |
US8751215B2 (en) | 2010-06-04 | 2014-06-10 | Microsoft Corporation | Machine based sign language interpreter |
US9008355B2 (en) | 2010-06-04 | 2015-04-14 | Microsoft Technology Licensing, Llc | Automatic depth camera aiming |
US9557574B2 (en) | 2010-06-08 | 2017-01-31 | Microsoft Technology Licensing, Llc | Depth illumination and detection optics |
US8330822B2 (en) | 2010-06-09 | 2012-12-11 | Microsoft Corporation | Thermally-tuned depth camera light source |
US8675981B2 (en) | 2010-06-11 | 2014-03-18 | Microsoft Corporation | Multi-modal gender recognition including depth data |
US8749557B2 (en) | 2010-06-11 | 2014-06-10 | Microsoft Corporation | Interacting with user interface via avatar |
US9384329B2 (en) | 2010-06-11 | 2016-07-05 | Microsoft Technology Licensing, Llc | Caloric burn determination from body movement |
US8982151B2 (en) | 2010-06-14 | 2015-03-17 | Microsoft Technology Licensing, Llc | Independently processing planes of display data |
US8670029B2 (en) | 2010-06-16 | 2014-03-11 | Microsoft Corporation | Depth camera illuminator with superluminescent light-emitting diode |
US8558873B2 (en) | 2010-06-16 | 2013-10-15 | Microsoft Corporation | Use of wavefront coding to create a depth image |
US8296151B2 (en) | 2010-06-18 | 2012-10-23 | Microsoft Corporation | Compound gesture-speech commands |
US8381108B2 (en) | 2010-06-21 | 2013-02-19 | Microsoft Corporation | Natural user input for driving interactive stories |
US8416187B2 (en) | 2010-06-22 | 2013-04-09 | Microsoft Corporation | Item navigation using motion-capture data |
DE102010032761A1 (en) * | 2010-07-29 | 2012-02-02 | E:Cue Control Gmbh | Method for controlling controller for lighting system, involves detecting position or state of motion of person by using depth sensor camera |
US9075434B2 (en) | 2010-08-20 | 2015-07-07 | Microsoft Technology Licensing, Llc | Translating user motion into multiple object responses |
US8613666B2 (en) | 2010-08-31 | 2013-12-24 | Microsoft Corporation | User selection and navigation based on looped motions |
US8655093B2 (en) | 2010-09-02 | 2014-02-18 | Edge 3 Technologies, Inc. | Method and apparatus for performing segmentation of an image |
US8582866B2 (en) | 2011-02-10 | 2013-11-12 | Edge 3 Technologies, Inc. | Method and apparatus for disparity computation in stereo images |
US8666144B2 (en) | 2010-09-02 | 2014-03-04 | Edge 3 Technologies, Inc. | Method and apparatus for determining disparity of texture |
US8467599B2 (en) | 2010-09-02 | 2013-06-18 | Edge 3 Technologies, Inc. | Method and apparatus for confusion learning |
US8437506B2 (en) | 2010-09-07 | 2013-05-07 | Microsoft Corporation | System for fast, probabilistic skeletal tracking |
US20120058824A1 (en) | 2010-09-07 | 2012-03-08 | Microsoft Corporation | Scalable real-time motion recognition |
US8988508B2 (en) | 2010-09-24 | 2015-03-24 | Microsoft Technology Licensing, Llc. | Wide angle field of view active illumination imaging system |
US8681255B2 (en) | 2010-09-28 | 2014-03-25 | Microsoft Corporation | Integrated low power depth camera and projection device |
US8548270B2 (en) | 2010-10-04 | 2013-10-01 | Microsoft Corporation | Time-of-flight depth imaging |
US9484065B2 (en) | 2010-10-15 | 2016-11-01 | Microsoft Technology Licensing, Llc | Intelligent determination of replays based on event identification |
US8592739B2 (en) | 2010-11-02 | 2013-11-26 | Microsoft Corporation | Detection of configuration changes of an optical element in an illumination system |
US8866889B2 (en) | 2010-11-03 | 2014-10-21 | Microsoft Corporation | In-home depth camera calibration |
US8667519B2 (en) | 2010-11-12 | 2014-03-04 | Microsoft Corporation | Automatic passive and anonymous feedback system |
US10726861B2 (en) | 2010-11-15 | 2020-07-28 | Microsoft Technology Licensing, Llc | Semi-private communication in open environments |
US9349040B2 (en) | 2010-11-19 | 2016-05-24 | Microsoft Technology Licensing, Llc | Bi-modal depth-image analysis |
US10234545B2 (en) | 2010-12-01 | 2019-03-19 | Microsoft Technology Licensing, Llc | Light source module |
US8553934B2 (en) | 2010-12-08 | 2013-10-08 | Microsoft Corporation | Orienting the position of a sensor |
US8618405B2 (en) | 2010-12-09 | 2013-12-31 | Microsoft Corp. | Free-space gesture musical instrument digital interface (MIDI) controller |
US8408706B2 (en) | 2010-12-13 | 2013-04-02 | Microsoft Corporation | 3D gaze tracker |
US8884968B2 (en) | 2010-12-15 | 2014-11-11 | Microsoft Corporation | Modeling an object from image data |
US8920241B2 (en) | 2010-12-15 | 2014-12-30 | Microsoft Corporation | Gesture controlled persistent handles for interface guides |
US9171264B2 (en) | 2010-12-15 | 2015-10-27 | Microsoft Technology Licensing, Llc | Parallel processing machine learning decision tree training |
US8448056B2 (en) | 2010-12-17 | 2013-05-21 | Microsoft Corporation | Validation analysis of human target |
US8803952B2 (en) | 2010-12-20 | 2014-08-12 | Microsoft Corporation | Plural detector time-of-flight depth mapping |
US9848106B2 (en) | 2010-12-21 | 2017-12-19 | Microsoft Technology Licensing, Llc | Intelligent gameplay photo capture |
US9821224B2 (en) | 2010-12-21 | 2017-11-21 | Microsoft Technology Licensing, Llc | Driving simulator control with virtual skeleton |
US8385596B2 (en) | 2010-12-21 | 2013-02-26 | Microsoft Corporation | First person shooter control with virtual skeleton |
US9823339B2 (en) | 2010-12-21 | 2017-11-21 | Microsoft Technology Licensing, Llc | Plural anode time-of-flight sensor |
US8994718B2 (en) | 2010-12-21 | 2015-03-31 | Microsoft Technology Licensing, Llc | Skeletal control of three-dimensional virtual world |
US9123316B2 (en) | 2010-12-27 | 2015-09-01 | Microsoft Technology Licensing, Llc | Interactive content creation |
US8488888B2 (en) | 2010-12-28 | 2013-07-16 | Microsoft Corporation | Classification of posture states |
ITSI20110001A1 (en) * | 2011-01-28 | 2012-07-29 | Pasquale Fedele | SYSTEM OF ENVIRONMENTAL ELECTRONIC DEVICES WITH FUNCTIONALITY OF INTERACTIVE AND MULTIMEDIA LAMPS. |
US8587583B2 (en) | 2011-01-31 | 2013-11-19 | Microsoft Corporation | Three-dimensional environment reconstruction |
US8401242B2 (en) | 2011-01-31 | 2013-03-19 | Microsoft Corporation | Real-time camera tracking using depth maps |
US8401225B2 (en) | 2011-01-31 | 2013-03-19 | Microsoft Corporation | Moving object segmentation using depth images |
US9247238B2 (en) | 2011-01-31 | 2016-01-26 | Microsoft Technology Licensing, Llc | Reducing interference between multiple infra-red depth cameras |
US8724887B2 (en) | 2011-02-03 | 2014-05-13 | Microsoft Corporation | Environmental modifications to mitigate environmental factors |
US8970589B2 (en) | 2011-02-10 | 2015-03-03 | Edge 3 Technologies, Inc. | Near-touch interaction with a stereo camera grid structured tessellations |
US8942917B2 (en) | 2011-02-14 | 2015-01-27 | Microsoft Corporation | Change invariant scene recognition by an agent |
US8497838B2 (en) | 2011-02-16 | 2013-07-30 | Microsoft Corporation | Push actuation of interface controls |
US9551914B2 (en) | 2011-03-07 | 2017-01-24 | Microsoft Technology Licensing, Llc | Illuminator with refractive optical element |
US9067136B2 (en) | 2011-03-10 | 2015-06-30 | Microsoft Technology Licensing, Llc | Push personalization of interface controls |
US8571263B2 (en) | 2011-03-17 | 2013-10-29 | Microsoft Corporation | Predicting joint positions |
US9470778B2 (en) | 2011-03-29 | 2016-10-18 | Microsoft Technology Licensing, Llc | Learning from high quality depth measurements |
US9842168B2 (en) | 2011-03-31 | 2017-12-12 | Microsoft Technology Licensing, Llc | Task driven user intents |
US9298287B2 (en) | 2011-03-31 | 2016-03-29 | Microsoft Technology Licensing, Llc | Combined activation for natural user interface systems |
US10642934B2 (en) | 2011-03-31 | 2020-05-05 | Microsoft Technology Licensing, Llc | Augmented conversational understanding architecture |
US9760566B2 (en) | 2011-03-31 | 2017-09-12 | Microsoft Technology Licensing, Llc | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof |
US8824749B2 (en) | 2011-04-05 | 2014-09-02 | Microsoft Corporation | Biometric recognition |
US8503494B2 (en) | 2011-04-05 | 2013-08-06 | Microsoft Corporation | Thermal management system |
US8873841B2 (en) * | 2011-04-21 | 2014-10-28 | Nokia Corporation | Methods and apparatuses for facilitating gesture recognition |
US8620113B2 (en) | 2011-04-25 | 2013-12-31 | Microsoft Corporation | Laser diode modes |
US8702507B2 (en) | 2011-04-28 | 2014-04-22 | Microsoft Corporation | Manual and camera-based avatar control |
US9259643B2 (en) | 2011-04-28 | 2016-02-16 | Microsoft Technology Licensing, Llc | Control of separate computer game elements |
US10671841B2 (en) | 2011-05-02 | 2020-06-02 | Microsoft Technology Licensing, Llc | Attribute state classification |
US8888331B2 (en) | 2011-05-09 | 2014-11-18 | Microsoft Corporation | Low inductance light source module |
US9137463B2 (en) | 2011-05-12 | 2015-09-15 | Microsoft Technology Licensing, Llc | Adaptive high dynamic range camera |
US9064006B2 (en) | 2012-08-23 | 2015-06-23 | Microsoft Technology Licensing, Llc | Translating natural language utterances to keyword search queries |
US8788973B2 (en) | 2011-05-23 | 2014-07-22 | Microsoft Corporation | Three-dimensional gesture controlled avatar configuration interface |
US8760395B2 (en) | 2011-05-31 | 2014-06-24 | Microsoft Corporation | Gesture recognition techniques |
US8526734B2 (en) | 2011-06-01 | 2013-09-03 | Microsoft Corporation | Three-dimensional background removal for vision system |
US9594430B2 (en) | 2011-06-01 | 2017-03-14 | Microsoft Technology Licensing, Llc | Three-dimensional foreground selection for vision system |
US8897491B2 (en) | 2011-06-06 | 2014-11-25 | Microsoft Corporation | System for finger recognition and tracking |
US8597142B2 (en) | 2011-06-06 | 2013-12-03 | Microsoft Corporation | Dynamic camera based practice mode |
US9098110B2 (en) | 2011-06-06 | 2015-08-04 | Microsoft Technology Licensing, Llc | Head rotation tracking from depth-based center of mass |
US10796494B2 (en) | 2011-06-06 | 2020-10-06 | Microsoft Technology Licensing, Llc | Adding attributes to virtual representations of real-world objects |
US8929612B2 (en) | 2011-06-06 | 2015-01-06 | Microsoft Corporation | System for recognizing an open or closed hand |
US9208571B2 (en) | 2011-06-06 | 2015-12-08 | Microsoft Technology Licensing, Llc | Object digitization |
US9724600B2 (en) | 2011-06-06 | 2017-08-08 | Microsoft Technology Licensing, Llc | Controlling objects in a virtual environment |
US9013489B2 (en) | 2011-06-06 | 2015-04-21 | Microsoft Technology Licensing, Llc | Generation of avatar reflecting player appearance |
US9597587B2 (en) | 2011-06-08 | 2017-03-21 | Microsoft Technology Licensing, Llc | Locational node device |
CN102866677A (en) * | 2011-07-07 | 2013-01-09 | 艾美特电器(深圳)有限公司 | Gesture household appliance controller, control system and control method |
US8786730B2 (en) | 2011-08-18 | 2014-07-22 | Microsoft Corporation | Image exposure using exclusion regions |
US9557836B2 (en) | 2011-11-01 | 2017-01-31 | Microsoft Technology Licensing, Llc | Depth image compression |
US9117281B2 (en) | 2011-11-02 | 2015-08-25 | Microsoft Corporation | Surface segmentation from RGB and depth images |
US8854426B2 (en) | 2011-11-07 | 2014-10-07 | Microsoft Corporation | Time-of-flight camera with guided light |
US9301372B2 (en) * | 2011-11-11 | 2016-03-29 | Osram Sylvania Inc. | Light control method and lighting device using the same |
US9672609B1 (en) | 2011-11-11 | 2017-06-06 | Edge 3 Technologies, Inc. | Method and apparatus for improved depth-map estimation |
US8724906B2 (en) | 2011-11-18 | 2014-05-13 | Microsoft Corporation | Computing pose and/or shape of modifiable entities |
US8509545B2 (en) | 2011-11-29 | 2013-08-13 | Microsoft Corporation | Foreground subject detection |
US8635637B2 (en) | 2011-12-02 | 2014-01-21 | Microsoft Corporation | User interface presenting an animated avatar performing a media reaction |
US8803800B2 (en) | 2011-12-02 | 2014-08-12 | Microsoft Corporation | User interface control based on head orientation |
US9100685B2 (en) | 2011-12-09 | 2015-08-04 | Microsoft Technology Licensing, Llc | Determining audience state or interest using passive sensor data |
US8879831B2 (en) | 2011-12-15 | 2014-11-04 | Microsoft Corporation | Using high-level attributes to guide image processing |
US8971612B2 (en) | 2011-12-15 | 2015-03-03 | Microsoft Corporation | Learning image processing tasks from scene reconstructions |
US8630457B2 (en) | 2011-12-15 | 2014-01-14 | Microsoft Corporation | Problem states for pose tracking pipeline |
US8811938B2 (en) | 2011-12-16 | 2014-08-19 | Microsoft Corporation | Providing a user interface experience based on inferred vehicle state |
US9342139B2 (en) | 2011-12-19 | 2016-05-17 | Microsoft Technology Licensing, Llc | Pairing a computing device to a user |
DE102012200473B4 (en) * | 2012-01-13 | 2024-02-08 | BSH Hausgeräte GmbH | Method for operating a hob and hob |
US9720089B2 (en) | 2012-01-23 | 2017-08-01 | Microsoft Technology Licensing, Llc | 3D zoom imager |
WO2013123119A1 (en) | 2012-02-15 | 2013-08-22 | Stryker Corporation | Patient support apparatus and controls therefor |
DE102012203460A1 (en) * | 2012-03-05 | 2013-09-05 | E.G.O. Elektro-Gerätebau GmbH | hob |
DE102012203457A1 (en) * | 2012-03-05 | 2013-09-05 | E.G.O. Elektro-Gerätebau GmbH | Camera module for operating gesture recognition and household appliance |
US8898687B2 (en) | 2012-04-04 | 2014-11-25 | Microsoft Corporation | Controlling a media program based on a media reaction |
US9025111B2 (en) | 2012-04-20 | 2015-05-05 | Google Inc. | Seamless display panel using fiber optic carpet |
US9210401B2 (en) | 2012-05-03 | 2015-12-08 | Microsoft Technology Licensing, Llc | Projected visual cues for guiding physical movement |
CA2775700C (en) | 2012-05-04 | 2013-07-23 | Microsoft Corporation | Determining a future portion of a currently presented media program |
US9115880B2 (en) | 2012-05-04 | 2015-08-25 | Abl Ip Holding, Llc | Lighting system reconfigurable by gestural control |
EP2864961A4 (en) | 2012-06-21 | 2016-03-23 | Microsoft Technology Licensing Llc | Avatar construction using depth camera |
US9836590B2 (en) | 2012-06-22 | 2017-12-05 | Microsoft Technology Licensing, Llc | Enhanced accuracy of user presence status determination |
US9696427B2 (en) | 2012-08-14 | 2017-07-04 | Microsoft Technology Licensing, Llc | Wide angle depth detection |
US8752151B2 (en) | 2012-10-09 | 2014-06-10 | At&T Intellectual Property I, L.P. | Methods, systems, and products for authentication of users |
US9164596B1 (en) | 2012-10-22 | 2015-10-20 | Google Inc. | Method and apparatus for gesture interaction with a photo-active painted surface |
JP2014109885A (en) * | 2012-11-30 | 2014-06-12 | Toshiba Corp | Display device and notification method |
WO2014087406A1 (en) * | 2012-12-05 | 2014-06-12 | Inuitive Ltd. | Method and system for remote controlling |
US8882310B2 (en) | 2012-12-10 | 2014-11-11 | Microsoft Corporation | Laser die light source module with low inductance |
US9857470B2 (en) | 2012-12-28 | 2018-01-02 | Microsoft Technology Licensing, Llc | Using photometric stereo for 3D environment modeling |
JP5622869B2 (en) * | 2013-01-09 | 2014-11-12 | 三菱電機株式会社 | Electrical device management apparatus, electrical device management system, and electrical device management method |
US9251590B2 (en) | 2013-01-24 | 2016-02-02 | Microsoft Technology Licensing, Llc | Camera pose estimation for 3D reconstruction |
US20140214185A1 (en) * | 2013-01-25 | 2014-07-31 | Kuo-Chung Huang | Somatosensory Household Electricity Control Equipment and System Thereof |
US9052746B2 (en) | 2013-02-15 | 2015-06-09 | Microsoft Technology Licensing, Llc | User center-of-mass and mass distribution extraction using depth images |
US9940553B2 (en) | 2013-02-22 | 2018-04-10 | Microsoft Technology Licensing, Llc | Camera/object pose from predicted coordinates |
US9135516B2 (en) | 2013-03-08 | 2015-09-15 | Microsoft Technology Licensing, Llc | User body angle, curvature and average extremity positions extraction using depth images |
US9092657B2 (en) | 2013-03-13 | 2015-07-28 | Microsoft Technology Licensing, Llc | Depth image processing |
US9274606B2 (en) | 2013-03-14 | 2016-03-01 | Microsoft Technology Licensing, Llc | NUI video conference controls |
US10721448B2 (en) | 2013-03-15 | 2020-07-21 | Edge 3 Technologies, Inc. | Method and apparatus for adaptive exposure bracketing, segmentation and scene organization |
US9953213B2 (en) | 2013-03-27 | 2018-04-24 | Microsoft Technology Licensing, Llc | Self discovery of autonomous NUI devices |
WO2014178047A1 (en) | 2013-04-30 | 2014-11-06 | Inuitive Ltd. | System and method for video conferencing |
US9442186B2 (en) | 2013-05-13 | 2016-09-13 | Microsoft Technology Licensing, Llc | Interference reduction for TOF systems |
DE102013214846A1 (en) * | 2013-07-30 | 2015-02-05 | BSH Bosch und Siemens Hausgeräte GmbH | Domestic appliance with a gesture recognition device and with a gesture discrimination device and method for operating a household appliance |
KR102231092B1 (en) | 2013-09-05 | 2021-03-24 | 삼성전자주식회사 | Control device |
US9377345B2 (en) | 2013-09-11 | 2016-06-28 | Illinois Tool Works Inc. | Food product scale |
US9462253B2 (en) | 2013-09-23 | 2016-10-04 | Microsoft Technology Licensing, Llc | Optical modules that reduce speckle contrast and diffraction artifacts |
US9443310B2 (en) | 2013-10-09 | 2016-09-13 | Microsoft Technology Licensing, Llc | Illumination modules that emit structured light |
US9674563B2 (en) | 2013-11-04 | 2017-06-06 | Rovi Guides, Inc. | Systems and methods for recommending content |
US9769459B2 (en) | 2013-11-12 | 2017-09-19 | Microsoft Technology Licensing, Llc | Power efficient laser diode driver circuit and method |
US20150139483A1 (en) * | 2013-11-15 | 2015-05-21 | David Shen | Interactive Controls For Operating Devices and Systems |
US9508385B2 (en) | 2013-11-21 | 2016-11-29 | Microsoft Technology Licensing, Llc | Audio-visual project generator |
US20160296056A1 (en) * | 2013-11-28 | 2016-10-13 | Arcelik Anonim Sirketi | An exhaust hood for cookers |
CN106104408B (en) | 2013-11-29 | 2021-07-27 | 行动股份有限公司 | Wearable computing device |
US10281953B2 (en) | 2013-11-29 | 2019-05-07 | Motiv Inc. | Wearable device and data transmission method |
CN105765514B (en) * | 2014-01-06 | 2020-02-11 | 三星电子株式会社 | Control apparatus and control method thereof |
US9971491B2 (en) | 2014-01-09 | 2018-05-15 | Microsoft Technology Licensing, Llc | Gesture library for natural user input |
US9679197B1 (en) | 2014-03-13 | 2017-06-13 | Leap Motion, Inc. | Biometric aware object detection and tracking |
US10782657B2 (en) * | 2014-05-27 | 2020-09-22 | Ultrahaptics IP Two Limited | Systems and methods of gestural interaction in a pervasive computing environment |
USD756999S1 (en) | 2014-06-02 | 2016-05-24 | Motiv Inc. | Wearable computing device |
WO2015189860A2 (en) * | 2014-06-12 | 2015-12-17 | Lensbricks Technology Private Limited | Method for interaction with devices |
JP2016038889A (en) | 2014-08-08 | 2016-03-22 | リープ モーション, インコーポレーテッドLeap Motion, Inc. | Extended reality followed by motion sensing |
US9977565B2 (en) | 2015-02-09 | 2018-05-22 | Leapfrog Enterprises, Inc. | Interactive educational system with light emitting controller |
WO2017020214A1 (en) * | 2015-08-02 | 2017-02-09 | 李强生 | Method and remote controller for matching household electrical-appliance remote controller according to hand gesture |
US10691214B2 (en) | 2015-10-12 | 2020-06-23 | Honeywell International Inc. | Gesture control of building automation system components during installation and/or maintenance |
US10412280B2 (en) | 2016-02-10 | 2019-09-10 | Microsoft Technology Licensing, Llc | Camera with light valve over sensor array |
US10257932B2 (en) | 2016-02-16 | 2019-04-09 | Microsoft Technology Licensing, Llc. | Laser diode chip on printed circuit board |
US10462452B2 (en) | 2016-03-16 | 2019-10-29 | Microsoft Technology Licensing, Llc | Synchronizing active illumination cameras |
US9791936B1 (en) | 2016-05-03 | 2017-10-17 | Aram Kavach | Audio and motion-based control of a personalized smart appliance, media, and methods of use |
EP3466211A1 (en) * | 2016-06-03 | 2019-04-10 | Signify Holding B.V. | Energy harvesters as user interfaces |
US10157308B2 (en) | 2016-11-30 | 2018-12-18 | Whirlpool Corporation | Interaction recognition and analysis system |
US10762641B2 (en) | 2016-11-30 | 2020-09-01 | Whirlpool Corporation | Interaction recognition and analysis system |
WO2018200974A1 (en) * | 2017-04-27 | 2018-11-01 | Meyer Intellectual Properties Ltd. | Control system for cooking |
CN107329686B (en) * | 2017-06-27 | 2020-05-15 | 倪燕平 | Touch-controlled shared equipment system |
US10496879B2 (en) | 2017-08-25 | 2019-12-03 | Qualcomm Incorporated | Multiple-detection gesture recognition |
CN111164958A (en) * | 2017-09-29 | 2020-05-15 | 深圳市大疆创新科技有限公司 | System and method for processing and displaying image data based on pose information |
SG11201909139TA (en) * | 2017-12-22 | 2019-10-30 | Beijing Sensetime Technology Development Co Ltd | Methods and apparatuses for recognizing dynamic gesture, and control methods and apparatuses using gesture interaction |
CN110825217B (en) * | 2018-08-13 | 2023-07-11 | 珠海格力电器股份有限公司 | Household appliance control method and device |
CN109526119A (en) * | 2018-09-29 | 2019-03-26 | 镇江微芯光子科技有限公司 | A kind of action control sense light |
US11017217B2 (en) | 2018-10-09 | 2021-05-25 | Midea Group Co., Ltd. | System and method for controlling appliances using motion gestures |
US11386621B2 (en) | 2018-12-31 | 2022-07-12 | Whirlpool Corporation | Augmented reality feedback of inventory for an appliance |
CN112558778A (en) * | 2020-12-18 | 2021-03-26 | 珠海格力电器股份有限公司 | User action recognition control method and device under multi-terminal environment and user terminal |
FR3144682A1 (en) * | 2022-12-29 | 2024-07-05 | nanodom | Electric switch with gesture control and without contacts. |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5563988A (en) * | 1994-08-01 | 1996-10-08 | Massachusetts Institute Of Technology | Method and system for facilitating wireless, full-body, real-time user interaction with a digitally represented visual environment |
US20030138130A1 (en) * | 1998-08-10 | 2003-07-24 | Charles J. Cohen | Gesture-controlled interfaces for self-service machines and other applications |
US7158871B1 (en) * | 1998-05-07 | 2007-01-02 | Art - Advanced Recognition Technologies Ltd. | Handwritten and voice control of vehicle components |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5086385A (en) | 1989-01-31 | 1992-02-04 | Custom Command Systems | Expandable home automation system |
US5875108A (en) * | 1991-12-23 | 1999-02-23 | Hoffberg; Steven M. | Ergonomic man-machine interface incorporating adaptive pattern recognition based control system |
US5621662A (en) | 1994-02-15 | 1997-04-15 | Intellinet, Inc. | Home automation system |
EP0823683B1 (en) * | 1995-04-28 | 2005-07-06 | Matsushita Electric Industrial Co., Ltd. | Interface device |
JPH0981309A (en) * | 1995-09-13 | 1997-03-28 | Toshiba Corp | Input device |
JPH1031551A (en) * | 1996-07-15 | 1998-02-03 | Mitsubishi Electric Corp | Human interface system and high-speed moving body position detecting device using the same |
EP0837418A3 (en) | 1996-10-18 | 2006-03-29 | Kabushiki Kaisha Toshiba | Method and apparatus for generating information input using reflected light image of target object |
DE69936620T2 (en) | 1998-09-28 | 2008-05-21 | Matsushita Electric Industrial Co., Ltd., Kadoma | Method and device for segmenting hand gestures |
US6766036B1 (en) * | 1999-07-08 | 2004-07-20 | Timothy R. Pryor | Camera based man machine interfaces |
US7058204B2 (en) * | 2000-10-03 | 2006-06-06 | Gesturetek, Inc. | Multiple camera control system |
US6937742B2 (en) * | 2001-09-28 | 2005-08-30 | Bellsouth Intellectual Property Corporation | Gesture activated home appliance |
-
2001
- 2001-09-28 US US09/965,906 patent/US6937742B2/en not_active Expired - Lifetime
-
2002
- 2002-09-27 WO PCT/US2002/031175 patent/WO2003027942A1/en not_active Application Discontinuation
-
2005
- 2005-08-18 US US11/206,432 patent/US7236611B2/en not_active Expired - Lifetime
-
2007
- 2007-04-19 US US11/788,212 patent/US7444001B2/en not_active Expired - Fee Related
-
2008
- 2008-10-08 US US12/247,244 patent/US7680298B2/en not_active Expired - Fee Related
-
2010
- 2010-01-28 US US12/695,254 patent/US8085977B2/en not_active Expired - Fee Related
-
2011
- 2011-11-25 US US13/304,434 patent/US8467568B2/en not_active Expired - Lifetime
-
2013
- 2013-05-17 US US13/896,446 patent/US9025812B2/en not_active Expired - Lifetime
-
2015
- 2015-04-17 US US14/689,082 patent/US9659212B2/en not_active Expired - Lifetime
-
2017
- 2017-04-24 US US15/494,588 patent/US20170228030A1/en not_active Abandoned
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5563988A (en) * | 1994-08-01 | 1996-10-08 | Massachusetts Institute Of Technology | Method and system for facilitating wireless, full-body, real-time user interaction with a digitally represented visual environment |
US7158871B1 (en) * | 1998-05-07 | 2007-01-02 | Art - Advanced Recognition Technologies Ltd. | Handwritten and voice control of vehicle components |
US20030138130A1 (en) * | 1998-08-10 | 2003-07-24 | Charles J. Cohen | Gesture-controlled interfaces for self-service machines and other applications |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT201800009299A1 (en) * | 2018-10-09 | 2020-04-09 | Cover Sistemi Srl | A METHOD OF REGULATION OF ONE OR MORE DEVICES FOR DOMESTIC OR INDUSTRIAL USE |
Also Published As
Publication number | Publication date |
---|---|
US9659212B2 (en) | 2017-05-23 |
US20050286737A1 (en) | 2005-12-29 |
US7236611B2 (en) | 2007-06-26 |
US20130242076A1 (en) | 2013-09-19 |
US8467568B2 (en) | 2013-06-18 |
US7444001B2 (en) | 2008-10-28 |
US20120063643A1 (en) | 2012-03-15 |
US20070211915A1 (en) | 2007-09-13 |
US20100131905A1 (en) | 2010-05-27 |
US9025812B2 (en) | 2015-05-05 |
US7680298B2 (en) | 2010-03-16 |
US20090060268A1 (en) | 2009-03-05 |
US6937742B2 (en) | 2005-08-30 |
US20150220775A1 (en) | 2015-08-06 |
US8085977B2 (en) | 2011-12-27 |
WO2003027942A1 (en) | 2003-04-03 |
US20050105759A1 (en) | 2005-05-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9659212B2 (en) | Methods, systems, and products for gesture-activation | |
US10796694B2 (en) | Optimum control method based on multi-mode command of operation-voice, and electronic device to which same is applied | |
EP1186162B1 (en) | Multi-modal video target acquisition and re-direction system and method | |
KR20040089709A (en) | System and method of keeping track of normal behavior of the inhabitants of a house | |
KR20180132011A (en) | Electronic device and Method for controlling power using voice recognition thereof | |
US20180122226A1 (en) | Method and device for controlling subordinate electronic device or supporting control of subordinate electronic device by learning ir signal | |
TWI691864B (en) | Intelligent robot | |
KR102517219B1 (en) | Electronic apparatus and the control method thereof | |
KR102044526B1 (en) | Method of increasing speech recognition based on artificial intelligence and device of implementing thereof | |
JP6719434B2 (en) | Device control device, device control method, and device control system | |
US20080209086A1 (en) | Device To Be Used As An Interface Between A User And Target Devices | |
KR102395760B1 (en) | Multi-channel voice trigger system and control method for voice recognition control of multiple devices | |
CN115086094A (en) | Device selection method and related device | |
KR100423495B1 (en) | Operation control system by speech recognition for portable device and a method using the same | |
JP7322824B2 (en) | Information processing device, information processing method, and control system | |
CN112181129A (en) | Equipment control method, device, equipment and machine readable medium | |
CN110365841A (en) | Voice messaging playback method and device, storage medium and electronic equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: AT&T INTELLECTUAL PROPERTY I, L.P., GEORGIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:AT&T DELAWARE INTELLECTUAL PROPERTY, INC.;REEL/FRAME:042123/0314 Effective date: 20140121 Owner name: BELLSOUTH INTELLECTUAL PROPERTY CORPORATION, DELAW Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ROBERTS, LINDA ANN;NGUYEN, HONG THI;SILVER, EDWARD MICHAEL;REEL/FRAME:042123/0227 Effective date: 20011204 Owner name: AT&T DELAWARE INTELLECTUAL PROPERTY, INC., GEORGIA Free format text: CHANGE OF NAME;ASSIGNOR:AT&T BLS INTELLECTUAL PROPERTY, INC.;REEL/FRAME:042320/0616 Effective date: 20071101 Owner name: AT&T BLS INTELLECTUAL PROPERTY, INC., DELAWARE Free format text: CHANGE OF NAME;ASSIGNOR:AT&T INTELLECTUAL PROPERTY, INC.;REEL/FRAME:042320/0608 Effective date: 20070727 Owner name: AT&T INTELLECTUAL PROPERTY, INC., TEXAS Free format text: CHANGE OF NAME;ASSIGNOR:BELLSOUTH INTELLECTUAL PROPERTY CORPORATION;REEL/FRAME:042320/0572 Effective date: 20070427 |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NON FINAL ACTION MAILED |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NON FINAL ACTION MAILED |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |