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公开(公告)号：US11620465B2
公开(公告)日：2023-04-04
申请号：US17093418
申请日：2020-11-09
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
IPC: G06K7/10 , G06N20/00 , G06Q10/087 , G01S5/02
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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公开(公告)号：US20200097690A1
公开(公告)日：2020-03-26
申请号：US16697098
申请日：2019-11-26
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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公开(公告)号：US20250138491A1
公开(公告)日：2025-05-01
申请号：US18838740
申请日：2022-04-02
Applicant: Intel Corporation
Inventor： Shouwei Sun , Hemin Han , Lili Ma , Ke Han , Rahul C. Shah , Lu Wang
Abstract: Techniques for low power indoor/outdoor detection are disclosed. In the illustrative embodiment, an integrated sensor hub receives data from an accelerometer. The sensor hub processes the accelerometer data to determine an activity of the user. Depending on the activity of the user, the sensor hub may determine whether the compute device is indoors or outdoors or may receive data from additional sensors, such as a magnetometer, a gyroscope, or an ambient light sensor. The additional sensor data may be used to determine whether the compute device is inside or outside.
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公开(公告)号：US11793458B2
公开(公告)日：2023-10-24
申请号：US15084670
申请日：2016-03-30
Applicant: Intel Corporation
Inventor： Lama Nachman , Hong Lu , Jennifer Healey , Rahul C. Shah , Jonathan J Huang , Rita H Wouhaybi , Giuseppe Raffa
CPC classification number: A61B5/4866 , A61B5/117 , A61B5/1118 , A61B5/222 , A63B22/02 , H04L67/306 , A63B71/0622 , A63B2071/0625 , A63B2071/0658 , A63B2220/12 , A63B2220/20 , A63B2220/40 , A63B2220/805 , A63B2220/806 , A63B2225/50 , A63B2230/75 , H04W4/029
Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure.
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公开(公告)号：US20190096209A1
公开(公告)日：2019-03-28
申请号：US15712438
申请日：2017-09-22
Applicant: Intel Corporation
Inventor： Ke-Yu Chen , Shao-Wen Yang , Chieh-Yih Wan , Rahul C. Shah , Addicam V. Sanjay , Scott A. Thomas
Abstract: In one embodiment, an apparatus may comprise a sensor to detect a plurality of radio signals from one or more transmitters. The apparatus may further comprise a processor to: identify the plurality of radio signals detected by the sensor; detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters; identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset; identify a plurality of signal characteristics associated with the plurality of radio signals; detect a proximity of a human based on the plurality of signal characteristics; and detect one or more human-asset interactions based on the plurality of signal characteristics.
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Patent Agency Ranking
公开(公告)号：US10219129B2
公开(公告)日：2019-02-26
申请号：US15722872
申请日：2017-10-02
Applicant: INTEL CORPORATION
Inventor： Chieh-Yih Wan , Lei Yang , Jonathan J. Huang , Hong Lu , Rahul C. Shah , Lama Nachman
Abstract: A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located. The portable electronic device may then generate a proposed semantic label for the physical subdivision.
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公开(公告)号：US09781575B1
公开(公告)日：2017-10-03
申请号：US15084799
申请日：2016-03-30
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Lei Yang , Jonathan J. Huang , Hong Lu , Rahul C. Shah , Lama Nachman
Abstract: A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located. The portable electronic device may then generate a proposed semantic label for the physical subdivision.
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公开(公告)号：US09489772B2
公开(公告)日：2016-11-08
申请号：US13851394
申请日：2013-03-27
Applicant: Intel Corporation
Inventor： Giuseppe Raffa , Glen J. Anderson , Lama Nachman , Yi Wu , Rahul C. Shah
IPC: G06T19/00
CPC classification number: G06T19/006 , G05B2219/32014
Abstract: Apparatuses, systems, media and methods may provide for environment actuation by one or more augmented reality elements. A location module may determine a location of one or more networked devices in a real space and/or establish a location of the one or more augmented reality elements in a virtual space, which may be mapped to the real space. A coordinator module may coordinate a virtual action in the virtual space of the one or more augmented reality elements with an actuation event by the one or more networked devices in the real space. The actuation event may correspond to the virtual action in the virtual space and be discernible in the real space.
Abstract translation: 设备，系统，介质和方法可以通过一个或多个增强现实元件来提供环境致动。 位置模块可以确定实际空间中的一个或多个联网设备的位置和/或建立虚拟空间中的一个或多个增强现实元素的位置，虚拟空间可以映射到真实空间。 协调器模块可以通过实际空间中的一个或多个联网设备的致动事件来协调一个或多个增强现实元件的虚拟空间中的虚拟动作。 致动事件可以对应于虚拟空间中的虚拟动作并且在实际空间中可辨别。
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公开(公告)号：US20160007160A1
公开(公告)日：2016-01-07
申请号：US14851380
申请日：2015-09-11
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Giuseppe Raffa , Rahul C. Shah
CPC classification number: H04W4/023 , G01S5/0072 , G01S5/0284 , H04W4/027 , H04W4/80 , H04W24/02 , H04W40/244 , H04W64/00 , H04W76/14 , H04W84/18
Abstract: A method may include calculating a first distance between first and second devices and determining a direction of a movement of the first device. The method may further include calculating a second distance between the first and second devices after the movement of the first device and determining the relative position of the first device with respect to the second device based on the direction of the movement, the first distance, and the second distance.
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公开(公告)号：US20210103708A1
公开(公告)日：2021-04-08
申请号：US17124091
申请日：2020-12-16
Applicant: Intel Corporation
Inventor： Cagri Tanriover , Rahul C. Shah , Chieh-Yih Wan
Abstract: Techniques are disclosed for performing RFID motion tracking in an intelligent manner that facilitates the generation of accurate and useful metrics for marketing and other applications. The techniques function to reduce problematic false positive rates on RFID tags attached to items to improve the accuracy of the motion presence of a small subset of browsed items among a much larger set of tagged items in the same space. This accurate motion inference enables the calculation of metrics such as customer-item interaction duration, pauses in interactions (potentially indicating close examining), and the extraction of patterns of motion that can indicate interest leading to realized sales, as well as concurrent motion detection of multiple items indicating which related items shall be placed in close proximity to increase sales of matching items.
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