Patents by Inventor Rami Y. HINDIYEH
Rami Y. HINDIYEH 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: 11896368Abstract: The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.Type: GrantFiled: August 30, 2017Date of Patent: February 13, 2024Assignee: Apple Inc.Inventors: Bharath Narasimha Rao, Craig H. Mermel, Karthik Jayaraman Raghuram, Hung A. Pham, Adam S. Howell, Rami Y. Hindiyeh, James P. Ochs, Vinay R. Majjigi, Alexander Singh Alvarado, Sunny K. Chow, Umamahesh Srinivas, Xing Tan, Ronald K. Huang, Edith Merle Arnold, Robin T. Guers, Gunes Dervisoglu, Adeeti Ullal
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Publication number: 20240025446Abstract: A method includes obtaining road patch type data associated with at least one road patch type, deriving, from the road patch type data, a set of road patch type parameters for the at least one road patch type, generating, based on the set of road patch type parameters, a set of risk metrics, each risk metric of the set of risk metrics corresponding to a respective road patch type parameter of the set of road patch type parameters, identifying, based at least in part on the set of risk metrics, a set of autonomous vehicle (AV) motion planning constraints selected for the at least one road patch type, and providing the set of AV motion planning constraints to update motion planning functionality performed by at least one component of an AV.Type: ApplicationFiled: August 24, 2022Publication date: January 25, 2024Inventors: Diomidis Katzourakis, John P. Alsterda, Rami Y. Hindiyeh, Robert Chen, Carson Schultz
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Patent number: 11647321Abstract: Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.Type: GrantFiled: May 10, 2019Date of Patent: May 9, 2023Assignee: Apple Inc.Inventors: Adam S. Howell, Hung A. Pham, Akifumi Kobashi, Rami Y. Hindiyeh, Xing Tan, Alexander Singh Alvarado, Karthik Jayaraman Raghuram
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Publication number: 20190342651Abstract: Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.Type: ApplicationFiled: May 10, 2019Publication date: November 7, 2019Inventors: Adam S. Howell, Hung A. Pham, Akifumi Kobashi, Rami Y. Hindiyeh, Xing Tan, Alexander Singh Alvarado, Karthik Jayaraman Raghuram
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Patent number: 10291975Abstract: Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.Type: GrantFiled: June 14, 2017Date of Patent: May 14, 2019Assignee: Apple Inc.Inventors: Adam S. Howell, Hung A. Pham, Akifumi Kobashi, Rami Y. Hindiyeh, Xing Tan, Alexander Singh Alvarado, Karthik Jayaraman Raghuram
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Publication number: 20180070166Abstract: Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.Type: ApplicationFiled: June 14, 2017Publication date: March 8, 2018Inventors: Adam S. Howell, Hung A. Pham, Akifumi Kobashi, Rami Y. Hindiyeh, Xing Tan, Alexander Singh Alvarado, Karthik Jayaraman Raghuram
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Publication number: 20180056128Abstract: The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.Type: ApplicationFiled: August 30, 2017Publication date: March 1, 2018Inventors: Bharath NARASIMHA RAO, Craig H. MERMEL, Karthik Jayaraman RAGHURAM, Hung A. PHAM, Adam S. HOWELL, Rami Y. HINDIYEH, James P. OCHS, Vinay R. MAJJIGI, Alexander SINGH ALVARADO, Sunny K. CHOW, Umamahesh SRINIVAS, Xing TAN, Ronald K. HUANG, Edith Merle ARNOLD, Robin T. GUERS, Gunes DERVISOGLU, Adeeti ULLAL