-
公开(公告)号：US10699594B2
公开(公告)日：2020-06-30
申请号：US15264976
申请日：2016-09-14
Applicant: Apple Inc.
Inventor： Craig H. Mermel , Alexander Singh Alvarado , Daniel M. Trietsch , Hung A. Pham , Karthik Jayaraman Raghuram , Richard Channing Moore, III
Abstract: Improved techniques and systems are disclosed for determining the components of resistance experienced by a wearer of a wearable device engaged in an activity such as bicycling or running. By monitoring data using the wearable device, improved estimates can be derived for various factors contributing to the resistance experienced by the user in the course of the activity. Using these improved estimates, data sampling rates may be reduced for some or all of the monitored data.
-
公开(公告)号：US10694994B2
公开(公告)日：2020-06-30
申请号：US15466397
申请日：2017-03-22
Applicant: Apple Inc.
Inventor： Alexander Singh Alvarado , Craig H. Mermel , Hung A. Pham , Karthik Jayaraman Raghuram , Xing Tan
IPC: A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/083 , A61B5/11
Abstract: A relationship relating a load of exercise and a user's aerobic capacity may be determined as follows. A processor circuit of a device may retrieve, from a memory, a prior probability distribution of the load of exercise and a prior probability distribution of the user's aerobic capacity. The processor circuit may compute a joint prior probability of the load of exercise and the user's aerobic capacity. The processor circuit may compute a joint likelihood of the load of exercise and the user's aerobic capacity based on data indicative of a measured time-stamped work rate and a measured time-stamped heart rate. The processor circuit may combine the joint prior probability and the joint likelihood to produce a joint posterior probability. The processor circuit may use the joint posterior probability to determine a relationship relating the load of exercise and the user's aerobic capacity and output a calorie calculation.
-
公开(公告)号：US10646117B2
公开(公告)日：2020-05-12
申请号：US15616135
申请日：2017-06-07
Applicant: APPLE INC.
Inventor： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Umamahesh Srinivas , Mrinal Agarwal , Daniel Trietsch , Alexander Singh Alvarado , Hung A. Pham , Ronald K. Huang , Adam Howell
Abstract: The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.
-
公开(公告)号：US20190342651A1
公开(公告)日：2019-11-07
申请号：US16409022
申请日：2019-05-10
Applicant: Apple Inc.
Inventor： Adam S. Howell , Hung A. Pham , Akifumi Kobashi , Rami Y. Hindiyeh , Xing Tan , Alexander Singh Alvarado , Karthik Jayaraman Raghuram
Abstract: 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.
-
公开(公告)号：US10291975B2
公开(公告)日：2019-05-14
申请号：US15622448
申请日：2017-06-14
Applicant: Apple Inc.
Inventor： Adam S. Howell , Hung A. Pham , Akifumi Kobashi , Rami Y. Hindiyeh , Xing Tan , Alexander Singh Alvarado , Karthik Jayaraman Raghuram
Abstract: 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.
-
Patent Agency Ranking
公开(公告)号：US20180070166A1
公开(公告)日：2018-03-08
申请号：US15622448
申请日：2017-06-14
Applicant: Apple Inc.
Inventor： Adam S. Howell , Hung A. Pham , Akifumi Kobashi , Rami Y. Hindiyeh , Xing Tan , Alexander Singh Alvarado , Karthik Jayaraman Raghuram
CPC classification number: H04R1/1041 , H04R1/1016 , H04R29/001 , H04R2420/07
Abstract: 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.
-
公开(公告)号：US20180050235A1
公开(公告)日：2018-02-22
申请号：US15679538
申请日：2017-08-17
Applicant: Apple Inc.
Inventor： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Craig H. Mermel , Daniel M. Trietsch , Alexander Singh Alvarado
CPC classification number: A63B24/0062 , A61B5/02416 , A61B5/1116 , A61B5/1118 , A61B5/681 , A61B5/6898 , A61B2503/10 , A61B2560/0252 , A61B2562/0219 , A63B2220/836 , A63B2225/50
Abstract: A method and a system for determining an energy expenditure of a user while practicing yoga are described. A heart rate sensing module can measure the user's heart rate. A temperature sensing module can measure ambient temperature. A motion sensing module can collect user's motion data. In some embodiments, a hot yoga session can be detected based on measured ambient temperature. In some embodiments, a yoga type can be detected based on the motion data. In some embodiments, an energy expenditure model can be applied based on the determined yoga type.
-
公开(公告)号：US20180049694A1
公开(公告)日：2018-02-22
申请号：US15678645
申请日：2017-08-16
Applicant: Apple Inc.
CPC classification number: A61B5/4866 , A61B5/0022 , A61B5/02416 , A61B5/02438 , A61B5/1112 , A61B5/1116 , A61B5/681 , A61B2503/10 , A61B2560/0242 , A63B2230/75 , G16H40/67
Abstract: A method and a system for determining an individual energy expenditure are described. In some embodiments, an energy expenditure can be calculated based on a combination of biometrics, heart rate and work rate. In some embodiments, a relative drag associated with the user can be calculated based on a group formation size, a group formation shape, participant velocities, weather, air density, and participant body surface areas. In some embodiments, a load adjustment factor can be determined based on the relative drag. In some embodiments, an adjusted energy expenditure can be determined based on the load adjustment factor.
-
公开(公告)号：US12295726B2
公开(公告)日：2025-05-13
申请号：US18439750
申请日：2024-02-12
Applicant: Apple Inc.
Inventor： Bharath Narasimha Rao , Craig 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
IPC: G01C22/00 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/11 , A63B24/00 , G01P15/14 , G06F18/2135 , G06F18/2411 , G06V40/20 , H04W4/02
Abstract: 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.
-
公开(公告)号：US20240329277A1
公开(公告)日：2024-10-03
申请号：US18737920
申请日：2024-06-07
Applicant: Apple Inc.
Inventor： Vinay R. Majjigi , Bharath Narasimha Rao , Sriram Venkateswaran , Aniket Aranake , Tejal Bhamre , Alexandru Popovici , Parisa Dehleh Hossein Zadeh , Yann Jerome Julien Renard , Yi Wen Liao , Stephen P. Jackson , Rebecca L. Clarkson , Henry Choi , Paul D. Bryan , Mrinal Agarwal , Ethan Goolish , Richard G. Liu , Omar Aziz , Alvaro J. Melendez Hasbun , David Ojeda Avellaneda , Sunny Kai Pang Chow , Pedro O. Varangot , Tianye Sun , Karthik Jayaraman Raghuram , Hung A. Pham
Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone. In some embodiments, a method comprises: detecting a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.
-
-
-
-
-
-
-
-
-
Search Results
71
records
(took 0.015 seconds)
