Patents by Inventor Brandt M. WESTING
Brandt M. WESTING has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11907436Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: GrantFiled: September 16, 2022Date of Patent: February 20, 2024Assignee: Apple Inc.Inventors: Stephen O. Lemay, Michael R. Bastian, Roman Holenstein, Minwoo Jeong, Charles Maalouf, Brandon J. Newendorp, Heriberto Nieto, Timothy Paek, Joanna Peterson, Shawn Scully, Srikrishna Sridhar, Brandt M. Westing, Shiwen Zhao
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Publication number: 20230401486Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.Type: ApplicationFiled: May 30, 2023Publication date: December 14, 2023Inventors: Keith P. AVERY, Jamil DHANANI, Harveen KAUR, Varun MAUDGALYA, Timothy S. PAEK, Dmytro RUDCHENKO, Brandt M. WESTING, Minwoo JEONG
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Publication number: 20230304869Abstract: A method is provided that includes reading a raw temperature value from a temperature sensor mounted in an electronic device and determining an amount of power applied to the electronic device. The method further includes generating, using a trained model, an ambient temperature value based on the raw temperature value and the determined amount of power, wherein the ambient temperature value represents a temperature outside of the electronic device.Type: ApplicationFiled: January 10, 2023Publication date: September 28, 2023Inventors: Gierad LAPUT, Brandt M. WESTING, Jun GONG, Runchang KANG, Michal K. WEGRZYNSKI, Shmuel G. LINK, Lian ZHANG, Roberto M. RIBEIRO
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Patent number: 11704592Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.Type: GrantFiled: July 23, 2020Date of Patent: July 18, 2023Assignee: Apple Inc.Inventors: Keith P. Avery, Jamil Dhanani, Harveen Kaur, Varun Maudgalya, Timothy S. Paek, Dmytro Rudchenko, Brandt M. Westing, Minwoo Jeong
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Publication number: 20230040703Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: ApplicationFiled: September 16, 2022Publication date: February 9, 2023Inventors: Stephen O. LEMAY, Michael R. BASTIAN, Roman HOLENSTEIN, Minwoo JEONG, Charles MAALOUF, Brandon J. NEWENDORP, Heriberto NIETO, Timothy PAEK, Joanna PETERSON, Shawn SCULLY, Srikrishna SRIDHAR, Brandt M. WESTING, Shiwen ZHAO
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Patent number: 11487364Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: GrantFiled: September 29, 2021Date of Patent: November 1, 2022Assignee: Apple Inc.Inventors: Stephen O. Lemay, Michael R. Bastian, Roman Holenstein, Minwoo Jeong, Charles Maalouf, Brandon J. Newendorp, Heriberto Nieto, Timothy Paek, Joanna Peterson, Shawn Scully, Srikrishna Sridhar, Brandt M. Westing, Shiwen Zhao
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Patent number: 11416136Abstract: The present disclosure generally relates to assigning tasks to various user inputs, and detecting and responding to user inputs. In some embodiments, the present disclosure relates to assigning tasks to various user inputs received on a back surface of a device, and detecting and responding to user inputs on the back surface of the device.Type: GrantFiled: February 4, 2021Date of Patent: August 16, 2022Assignee: Apple Inc.Inventors: John M. Nefulda, Keith P. Avery, Madhu Chinthakunta, Christopher B. Fleizach, Varun Maudgalya, Sommer E. Panage, Xinyi Yan, Garrett L. Weinberg, Michal K. Wegrzynski, William Caruso, Kenneth S. Friedman, Jamil Dhanani, Muhammad Amir Shafiq, Minwoo Jeong, Timothy S. Paek, Viet Huy Le, Heriberto Nieto, Brandt M. Westing, Rishabh Yadav
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Publication number: 20220019292Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: ApplicationFiled: September 29, 2021Publication date: January 20, 2022Inventors: Stephen O. LEMAY, Michael R. BASTIAN, Roman HOLENSTEIN, Minwoo JEONG, Charles MAALOUF, Brandon J. NEWENDORP, Heriberto NIETO, Timothy PAEK, Joanna PETERSON, Shawn SCULLY, Srikrishna SRIDHAR, Brandt M. WESTING, Shiwen ZHAO
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Patent number: 11175898Abstract: The subject technology receives a neural network model in a model format, the model format including information for a set of layers of the neural network model, each layer of the set of layers including a set of respective operations. The subject technology generates neural network (NN) code from the neural network model, the NN code being in a programming language distinct from the model format, and the NN code comprising a respective memory allocation for each respective layer of the set of layers of the neural network model, where the generating comprises determining the respective memory allocation for each respective layer based at least in part on a resource constraint of a target device. The subject technology compiles the NN code into a binary format. The subject technology generates a package for deploying the compiled NN code on the target device.Type: GrantFiled: September 25, 2019Date of Patent: November 16, 2021Assignee: Apple Inc.Inventors: Timothy S. Paek, Francesco Rossi, Jamil Dhanani, Keith P. Avery, Minwoo Jeong, Xiaojin Shi, Harveen Kaur, Brandt M. Westing
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Patent number: 11169616Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: GrantFiled: September 25, 2020Date of Patent: November 9, 2021Assignee: Apple Inc.Inventors: Stephen O. Lemay, Michael R. Bastian, Roman Holenstein, Minwoo Jeong, Charles Maalouf, Brandon J. Newendorp, Heriberto Nieto, Timothy Paek, Joanna Peterson, Shawn Scully, Srikrishna Sridhar, Brandt M. Westing, Shiwen Zhao
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Patent number: 10928918Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: GrantFiled: July 11, 2018Date of Patent: February 23, 2021Assignee: Apple Inc.Inventors: Stephen O. Lemay, Michael R. Bastian, Roman Holenstein, Minwoo Jeong, Charles Maalouf, Brandon J. Newendorp, Heriberto Nieto, Timothy Paek, Joanna Peterson, Shawn Scully, Srikrishna Sridhar, Brandt M. Westing, Shiwen Zhao
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Publication number: 20210027199Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.Type: ApplicationFiled: July 23, 2020Publication date: January 28, 2021Inventors: Keith P. AVERY, Jamil DHANANI, Harveen KAUR, Varun MAUDGALYA, Timothy S. PAEK, Dmytro RUDCHENKO, Brandt M. WESTING, Minwoo JEONG
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Publication number: 20210011557Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: ApplicationFiled: September 25, 2020Publication date: January 14, 2021Inventors: Stephen O. LEMAY, Michael R. BASTIAN, Roman HOLENSTEIN, Minwoo JEONG, Charles MAALOUF, Brandon J. NEWENDORP, Heriberto NIETO, Timothy PAEK, Joanna PETERSON, Shawn SCULLY, Srikrishna SRIDHAR, Brandt M. WESTING, Shiwen ZHAO
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Publication number: 20200379740Abstract: The subject technology receives a neural network model in a model format, the model format including information for a set of layers of the neural network model, each layer of the set of layers including a set of respective operations. The subject technology generates neural network (NN) code from the neural network model, the NN code being in a programming language distinct from the model format, and the NN code comprising a respective memory allocation for each respective layer of the set of layers of the neural network model, where the generating comprises determining the respective memory allocation for each respective layer based at least in part on a resource constraint of a target device. The subject technology compiles the NN code into a binary format. The subject technology generates a package for deploying the compiled NN code on the target device.Type: ApplicationFiled: September 25, 2019Publication date: December 3, 2020Inventors: Timothy S. PAEK, Francesco ROSSI, Jamil DHANANI, Keith P. AVERY, Minwoo JEONG, Xiaojin SHI, Harveen KAUR, Brandt M. WESTING
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Publication number: 20190339784Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.Type: ApplicationFiled: July 11, 2018Publication date: November 7, 2019Inventors: Stephen O. LEMAY, Michael R. BASTIAN, Roman HOLENSTEIN, Minwoo JEONG, Charles MAALOUF, Brandon J. NEWENDORP, Heriberto NIETO, Timothy PAEK, Joanna PETERSON, Shawn SCULLY, Srikrishna SRIDHAR, Brandt M. WESTING, Shiwen ZHAO