Patents by Inventor Michael P. Dal Santo
Michael P. Dal Santo 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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Publication number: 20240102822Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: ApplicationFiled: August 25, 2023Publication date: March 28, 2024Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Patent number: 11934160Abstract: A mobile device can provide predictive user assistance based on various sensor readings, independently of or in addition to a location of the mobile device. The mobile device can determine a context of an event. The mobile device can store the context and a label of the event on a storage device. The label can be provided automatically by the mobile device or by the external system without user input. At a later time, the mobile device can match new sensor readings with the stored context. If a match is found, the mobile device can predict that the user is about to perform the action or recognize that the user has performed the action again. The mobile device can perform various operations, including, for example, providing user assistance, based on the prediction or recognition.Type: GrantFiled: September 28, 2020Date of Patent: March 19, 2024Assignee: Apple Inc.Inventors: Lukas M. Marti, Lili Cao, Michael P. Dal Santo
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Patent number: 11934961Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.Type: GrantFiled: January 21, 2020Date of Patent: March 19, 2024Assignee: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20230403530Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).Type: ApplicationFiled: June 16, 2023Publication date: December 14, 2023Inventors: Michael P. Dal Santo, Lukas M. Marti, Ronald K. Huang, Lili Cao
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Publication number: 20230392949Abstract: The subject technology provides for route identification and clustering for real-time mapping. Various clustering techniques can identify groupings of relevant prior routes that can later be mapped against a current route. Filtering and matching techniques can be applied to identify and cluster prior routes. Tracked activity can also be compared against applicable prior activities to provide movement metrics and real-time comparisons between current and one or more recorded activities.Type: ApplicationFiled: October 18, 2022Publication date: December 7, 2023Inventors: Fatemeh GHAFOORI, Christina SELLE, Christine ZHU, Michael P. DAL SANTO, Venkata Sai Sriharsha SAMMETA
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Publication number: 20230358847Abstract: Methods, non-transitory machine-readable mediums, and system to provide historical positioning information are described. In an embodiment, a device detects one or more conditions in user contextual data that trigger collection of a set of historical positions for a lookback window, the device receives at least one historical position from the set of historical positions for the lookback window, the device classifies the at least one historical position based on one or more features as a candidate location for a backtrack route, and the device determines to provide the at least one historical position as part of the lookback window based on the classification.Type: ApplicationFiled: April 11, 2023Publication date: November 9, 2023Inventors: Michael P. Dal Santo, Christine Zhu, Adam M. Driscoll, Brandon J. Van Ryswyk, Richard B. Warren, Jared K. McGann
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Patent number: 11788858Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: GrantFiled: December 13, 2022Date of Patent: October 17, 2023Assignee: Apple Inc.Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Patent number: 11761785Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: GrantFiled: December 9, 2022Date of Patent: September 19, 2023Assignee: Apple Inc.Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Patent number: 11716589Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).Type: GrantFiled: December 8, 2021Date of Patent: August 1, 2023Assignee: Apple Inc.Inventors: Michael P. Dal Santo, Lukas M. Marti, Ronald K. Huang, Lili Cao
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Publication number: 20230116595Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: ApplicationFiled: December 9, 2022Publication date: April 13, 2023Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Publication number: 20230110498Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: ApplicationFiled: December 13, 2022Publication date: April 13, 2023Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Patent number: 11553302Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: GrantFiled: August 10, 2020Date of Patent: January 10, 2023Assignee: Apple Inc.Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Publication number: 20220394423Abstract: Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.Type: ApplicationFiled: August 10, 2020Publication date: December 8, 2022Inventors: Michael P. Dal Santo, Hyo Jeong Shin, Krishna M. Behara, Marcos R. Vescovi, Patrick Thomas Dillon, Richard B. Warren, Ronald K. Huang, Xufeng Han
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Patent number: 11470443Abstract: In an example method, a computer system receives a query from a mobile device, including an indication of a location of the mobile device, and an environmental measurement obtained by the mobile device at the location. A set of candidate points of interest in geographical proximity to the location is determined. For each of one or more candidate points of interest of the set, a location fingerprint of the candidate point of interest and contextual data regarding the candidate point of interest are obtained. A similarity between the environmental measurement and each location fingerprint is determined. A particular candidate point of interest is selected from among the set based on the similarity, and based on an assessment of the contextual data. A label of the selected point of interest is associated with the location and transmitted to the mobile device.Type: GrantFiled: November 1, 2019Date of Patent: October 11, 2022Assignee: Apple Inc.Inventors: Richard B. Warren, Danil Yuryevich Zvyagintsev, Michael P. Dal Santo, Liviu T. Popescu, Pejman Lotfali Kazemi, Hyo Jeong Shin, Zehua Zhou
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Publication number: 20220221552Abstract: Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.Type: ApplicationFiled: December 30, 2021Publication date: July 14, 2022Inventors: François M. Jouaux, Rama Krishna Chitta, Lukas M. Marti, Michael P. Dal Santo, Ronald Keryuan Huang
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Patent number: 11385318Abstract: Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.Type: GrantFiled: February 15, 2019Date of Patent: July 12, 2022Assignee: Apple Inc.Inventors: François M. Jouaux, Rama Krishna Chitta, Lukas M. Marti, Michael P. Dal Santo, Ronald Keryuan Huang
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Patent number: 11363405Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).Type: GrantFiled: September 24, 2020Date of Patent: June 14, 2022Assignee: Apple Inc.Inventors: Michael P. Dal Santo, Lukas M. Marti, Ronald K. Huang, Lili Cao
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Publication number: 20220103968Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).Type: ApplicationFiled: December 8, 2021Publication date: March 31, 2022Applicant: Apple Inc.Inventors: Michael P. Dal Santo, Lukas M. Marti, Ronald K. Huang, Lili Cao
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Publication number: 20210396619Abstract: Described herein are techniques to enable a mobile device to perform multi-source estimation of an altitude for a location. A baseline altitude may be determined at ground level for a location and used to calibrate a barometric pressure sensor on the mobile device. The calibrated barometric pressure sensor can then estimate changes in altitude relative to ground level based on detected pressure differentials, allowing a relative altitude to ground to be determined. Baseline calibration for the barometric sensor calibration can be performed to determine an ambient ground-level barometric pressure.Type: ApplicationFiled: January 29, 2021Publication date: December 23, 2021Inventors: Lei Wang, William J. Bencze, Kumar Gaurav Chhokra, Fatemeh Ghafoori, Stephen P. Jackson, Cheng Jia, Yi-Wen Liao, Glenn D. Macgougan, Isaac T. Miller, Alexandru Popovici, Christina Selle, Aditya Narain Srivastava, Richard Warren, Michael P. Dal Santo, Pejman Lotfali Kazemi
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Publication number: 20210084437Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).Type: ApplicationFiled: September 24, 2020Publication date: March 18, 2021Applicant: Apple Inc.Inventors: Michael P. Dal Santo, Lukas M. Marti, Ronald K. Huang, Lili Cao