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公开(公告)号：US20190038947A1
公开(公告)日：2019-02-07
申请号：US15812746
申请日：2017-11-14
Applicant: Intel Corporation
Inventor： Ke Ding , Lakshman Krishnamurthy , Narayan Sundararajan , Xue Yang
Abstract: Methods, apparatus, systems, and articles of manufacture to track movement of sports implements are disclosed herein. An example sensing unit disclosed herein is to be coupled to a sports implement. The sensing unit includes an inertial measurement unit to obtain movement data of said sports implement during a swing of said sports implement and a swing analyzer to determine whether the swing is a horizontal shot or a vertical shot based on the movement data.
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公开(公告)号：US10146980B2
公开(公告)日：2018-12-04
申请号：US14952031
申请日：2015-11-25
Applicant: Intel Corporation
Inventor： Stephanie Moyerman , Xue Yang
Abstract: Embodiments of the present disclosure provide techniques and configurations for an apparatus for identifying a maneuver of sports equipment. In one instance, the apparatus may comprise a housing to be attached to the sports equipment; two or more sensors disposed on or in the housing to sense acceleration or rotation of the sports equipment during the motion of the sports equipment, and to output motion data associated with the acceleration or rotation of the sports equipment; and circuitry disposed in the housing and coupled to the sensors to receive the motion data and to identify a maneuver performed using the sports equipment, based on the motion data. Other embodiments may be described and/or claimed.
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公开(公告)号：US20180153444A1
公开(公告)日：2018-06-07
申请号：US15369614
申请日：2016-12-05
Applicant: Intel Corporation
Inventor： Xue Yang , Sheng Shen , Romit Roy Choudhury
CPC classification number: A61B5/1112 , A61B5/0022 , A61B5/1116 , A61B5/1123 , A61B5/6824 , A61B5/725 , A61B5/742
Abstract: Disclosed methods, systems, and storage media may track body movements and movement trajectories using internal measurement units (IMUs), where a first IMU may be attached to a first wrist of a user, a second IMU may be attached to a second wrist of the user, and a third IMU may be attached to a torso of the user. Upper body movements may be derived from sensor data produced by the three IMUs. IMUs are typically not used to detect fine levels of body movements and/or movement trajectory because most IMUs accumulate errors due to large amounts of measurement noise. Embodiments provide arm and torso movement models to which the sensor data is applied in order to derive the body movements and/or movement trajectory. Additionally, estimation errors may be mitigated using a hidden Markov Model (HMM) filter. Other embodiments may be described and/or claimed.
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公开(公告)号：US09807549B2
公开(公告)日：2017-10-31
申请号：US14335026
申请日：2014-07-18
Applicant: INTEL CORPORATION
Inventor： Lei Yang , Xue Yang , Donnie H. Kim , Xiaochao Yang
Abstract: This disclosure describes systems, methods, and computer-readable media related to employing adaptive multi-feature semantic location sensing methods to estimate the semantic location of a mobile device. A set of wireless data scans associated with one or more access points at one or more locations may be received. One or more features of the one or more locations may be identified, based upon the set of wireless data scans wherein the features are associated with one or more location metrics. At least one of the one or more access points may be determined to be associated with a first location based upon, at least in part, the set of wireless data scans. A first classifier for the first location may be generated based upon, at least in part, the one or more features and the associated access points.
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公开(公告)号：US20170289764A1
公开(公告)日：2017-10-05
申请号：US15087161
申请日：2016-03-31
Applicant: Intel Corporation
Inventor： Lei Yang , Jared B. Counts , Xue Yang , Shao-Wen Yang , Arvind Kumar
IPC: H04W4/02
Abstract: A system for locating a mobile device includes an input that accesses a plurality of scans of wireless network access signaling, where the scans indicate received signal measurement results. A similarity measure module executes comparisons between the data of different scans in order to assess the similarity between those scans. The comparisons produce multi-dimensional comparison results. A dimension reduction module reduces dimensionality of the multi-dimensional comparison results to produce a dimension-reduced set of comparison results. A clustering module identifies groupings of similar scans based on the dimension-reduced set of comparison results.
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Patent Agency Ranking
公开(公告)号：US20170178032A1
公开(公告)日：2017-06-22
申请号：US15425763
申请日：2017-02-06
Applicant: Intel Corporation
Inventor： Xue Yang , Lakshman Krishnamurthy , Lama Nachman
CPC classification number: G06N20/00 , G06F1/163 , G06N3/0454 , G06N3/08
Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.
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27.发明申请公开(公告)号：US20150133148A1
公开(公告)日：2015-05-14
申请号：US14129433
申请日：2013-05-21
Applicant: Intel Corporation
Inventor： Xue Yang , Robert A. Colby , Yang Lei , Justin Lipman , Xiaoyong Pan
CPC classification number: H04W4/043 , G06F17/30289 , H04W24/02 , H04W64/00
Abstract: A method of generating wireless signal information includes receiving relative movement data generated by sensors and wireless signal data generated by a wireless signal module at a computing system, the sensors and module for detecting wireless signals located in a portable electronic device (PED). The method further includes generating landmark information at a landmark detection module based on the relative movement data, the sensor data and the wireless signal data. The method further includes generating a plurality of Simultaneous Localization and Mapping (SLAM) estimate locations based on the landmark information and the relative movement data at a SLAM optimization engine. The method further includes assembling a first database of locations and corresponding wireless signal strength and access points. The method further includes generating additional information concerning locations and wireless signal information based on the first database.
Abstract translation: 一种产生无线信号信息的方法包括：在计算系统处接收由传感器生成的相对移动数据和由无线信号模块生成的无线信号数据，用于检测位于便携式电子设备（PED）中的无线信号的传感器和模块。 该方法还包括基于相对移动数据，传感器数据和无线信号数据，在地标检测模块产生地标信息。 该方法还包括基于SLAM优化引擎上的地标信息和相对移动数据生成多个同时定位和映射（SLAM）估计位置。 该方法还包括组装位置的第一数据库和对应的无线信号强度和接入点。 该方法还包括基于第一数据库产生关于位置和无线信号信息的附加信息。
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公开(公告)号：US11599750B2
公开(公告)日：2023-03-07
申请号：US16146860
申请日：2018-09-28
Applicant: Intel Corporation
Inventor： Maruti Gupta Hyde , Florence Pon , Naissa Conde , Xue Yang , Wei Yee Koay
Abstract: Edge devices utilizing personalized machine learning and methods of operating the same are disclosed. An example edge device includes a model accessor to access a first machine learning model from a cloud service provider. A local data interface is to collect local user data. A model trainer is to train the first machine learning model to create a second machine learning model using the local user data. A local permissions data store is to store permissions indicating constraints on the local user data with respect to sharing outside of the edge device. A permissions enforcer is to apply permissions to the local user data to create a sub-set of the local user data to be shared outside of the edge device. A transmitter is to provide the sub-set of the local user data to a public data repository.
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公开(公告)号：US11166124B2
公开(公告)日：2021-11-02
申请号：US16573223
申请日：2019-09-17
Applicant: Intel Corporation
Inventor： Xue Yang , Steven T. Holmes
IPC: H04W4/029 , H04W4/80 , G06F1/16 , G06F1/3206 , G06F1/3234 , H04Q9/00 , G08C17/02 , A61B5/11 , A61B5/00 , H04W52/02
Abstract: Technologies for context-based management of wearable computing devices include a mobile computing device and a wearable computing device. The wearable computing device generates sensor data indicative of a location context of the wearable computing device and transmits the sensor data to the mobile computing device. The mobile computing device generates local sensor data indicative of a location context of the wearable computing device and fuses the local sensor data with the sensor data received from the wearable computing device. The mobile computing device determines a context of the wearable computing device based on the fused sensor data. The mobile computing device determines whether an adjustment to the functionality of the wearable computing device is required based on the determined context. The mobile computing device manages the functionality of the wearable computing device in response to determining that an adjustment to the functionality is required.
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公开(公告)号：US10646139B2
公开(公告)日：2020-05-12
申请号：US15369614
申请日：2016-12-05
Applicant: Intel Corporation
Inventor： Xue Yang , Sheng Shen , Romit Roy Choudhury
Abstract: Disclosed methods, systems, and storage media may track body movements and movement trajectories using internal measurement units (IMUs), where a first IMU may be attached to a first wrist of a user, a second IMU may be attached to a second wrist of the user, and a third IMU may be attached to a torso of the user. Upper body movements may be derived from sensor data produced by the three IMUs. IMUs are typically not used to detect fine levels of body movements and/or movement trajectory because most IMUs accumulate errors due to large amounts of measurement noise. Embodiments provide arm and torso movement models to which the sensor data is applied in order to derive the body movements and/or movement trajectory. Additionally, estimation errors may be mitigated using a hidden Markov Model (HMM) filter. Other embodiments may be described and/or claimed.
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