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公开(公告)号：US20170347885A1
公开(公告)日：2017-12-07
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.
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2.发明授权公开(公告)号：US09526430B2
公开(公告)日：2016-12-27
申请号：US14501930
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： Umamahesh Srinivas , Hung A. Pham , Richard Channing Moore, III , Alexander Singh Alvarado , Xing Tan , Bharath Narasimha Rao , Mrinal Agarwal , Karthik Jayaraman Raghuram
CPC classification number: A61B5/0205 , A61B5/0002 , A61B5/0004 , A61B5/02416 , A61B5/02438 , A61B5/1112 , A61B5/1116 , A61B5/1118 , A61B5/112 , A61B5/1121 , A61B5/1123 , A61B5/222 , A61B5/4866 , A61B5/4884 , A61B5/681 , A61B5/6898 , A61B5/7221 , A61B5/7246 , A61B5/725 , A61B5/7264 , A61B5/7275 , A61B2560/0204 , A61B2560/0242 , A61B2560/0475 , A61B2562/0219 , A63B22/0605 , G01C22/006
Abstract: In one aspect, the present disclosure relates to a method, including obtaining, by the fitness tracking device, motion data of the user over a period of time, wherein the motion data can include a first plurality motion measurements from a first motion sensor of the fitness tracking device; determining, by the fitness tracking device, using the motion data an angle of the fitness tracking device relative to a plane during the period of time; estimating by the fitness tracking device, using the motion data, a range of linear motion of the fitness tracking device through space during the period of time; and comparing, by the fitness tracking device, the angle of the fitness tracking device to a threshold angle and comparing the range of linear motion of the fitness tracking device to a threshold range of linear motion to determine whether the user is sitting or standing.
Abstract translation: 一方面，本公开涉及一种方法，包括由健身跟踪装置在一段时间内获得用户的运动数据，其中运动数据可以包括来自第一运动传感器的第一多个运动测量值 健身追踪装置; 通过所述健身跟踪装置确定所述运动数据在所述时段期间所述健身追踪装置相对于平面的角度; 由健身追踪装置利用运动数据估计健身跟踪装置在一段时间内通过空间的线性运动范围; 以及通过所述健身跟踪装置将所述健身追踪装置的角度与阈值角度进行比较，并将所述健身追踪装置的直线运动范围与线性运动的阈值范围进行比较，以确定所述用户是坐着还是站立。
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公开(公告)号：US20240075895A1
公开(公告)日：2024-03-07
申请号：US18462271
申请日：2023-09-06
Applicant: Apple Inc.
Inventor： Vinay R. Majjigi , 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
IPC: B60R21/013 , G06F18/213
CPC classification number: B60R21/013 , G06F18/213 , B60R2021/0027
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, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.
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公开(公告)号：US09646471B2
公开(公告)日：2017-05-09
申请号：US15058996
申请日：2016-03-02
Applicant: Apple Inc.
Inventor： Mrinal Agarwal
CPC classification number: G08B6/00 , G06F3/016 , G06F3/041 , G06F3/0488 , H04W4/021
Abstract: The present disclosure generally relates to user interfaces using tactile output. At a device, determine a first position of the device relative to a point of reference. After determining the first position, output, via one or more tactile output devices, a first tactile output, where the first tactile output is generated based on a first value of a characteristic that is selected in accordance with the first position. After outputting the first tactile output, detect a change in position of the device to a second position relative to the point of reference. In response to detecting the change in the position of the device, output a second tactile output that is different from the first tactile output, where the second tactile output is generated based on a second value of the characteristic that is selected in accordance with the second position of the device relative to the point of reference.
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Patent Agency Ranking
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.
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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.
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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.
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公开(公告)号：US10687707B2
公开(公告)日：2020-06-23
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.
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公开(公告)号：US10098549B2
公开(公告)日：2018-10-16
申请号：US14501701
申请日：2014-09-30
Applicant: Apple, Inc.
Inventor： Xing Tan , Hung A. Pham , Richard Channing Moore, III , Karthik Jayaraman Raghuram , Alexander Singh Alvarado , Umamahesh Srinivas , Mrinal Agarwal , Edith Merle Arnold
Abstract: A fitness tracking device configured to be worn by a user obtains a plurality of physical characteristics of the user including a first age and a sex of the user. The fitness tracking device maps each physical characteristic of the user to a corresponding index, wherein the first age of the user is mapped to a first age index of a first age range of a plurality of age ranges, and wherein the sex of the user is mapped to a first sex index. The fitness tracking device selects, from a memory of the fitness tracking device, a first calorimetry model of a plurality of calorimetry models, wherein the first calorimetry model is associated with each corresponding index, including the first age index and the first sex index of the user. The fitness tracking device estimates an energy expenditure rate using the first calorimetry model.
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