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公开(公告)号：US20210342560A1
公开(公告)日：2021-11-04
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
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：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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Patent Agency Ranking
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：US10832024B2
公开(公告)日：2020-11-10
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：US10467873B2
公开(公告)日：2019-11-05
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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公开(公告)号：US20180292471A1
公开(公告)日：2018-10-11
申请号：US15481414
申请日：2017-04-06
Applicant: Intel Corporation
Inventor： Ke-Yu Chen , Rahul C. Shah , Lama Nachman , Jonathan Huang
Abstract: A technology is described for detecting a mechanical device. An example method may include retrieving magnetometer data generated by a magnetometer coupled to a mobile device. Magnetic features may be extracted from the magnetometer data, where the magnetometer data may be associated with magnetic field distortion patterns generated by mechanical motions of a mechanical device. Accelerometer data generated by an accelerometer coupled to the mobile device may be retrieved. Acceleration features associated with vibration patterns generated by the mechanical motions of the mechanical device may be extracted from the accelerometer data. Thereafter, the mechanical device may be identified using the magnetic features and the acceleration features.
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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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