HEALTH TRACKING DEVICE
    1.
    发明公开

    公开(公告)号:EP4446736A2

    公开(公告)日:2024-10-16

    申请号:EP24197174.6

    申请日:2017-04-20

    IPC分类号: G01N33/02

    摘要: A device may receive, from a plurality of sensors, sensor data relating to a user. The device may include a plurality of types of sensors including a spectrometer and one or more of an accelerometer, a heart rate sensor, a blood pressure sensor, a blood sugar sensor, a perspiration sensor, a skin conductivity sensor, or an imaging sensor. The device may process the sensor data, from the plurality of types of sensors, relating to the user to determine a health condition of the user. The device may provide, via a user interface, information identifying the health condition of the user based on processing the sensor data, from the plurality of types of sensors, relating to the user.

    REDUCED FALSE POSITIVE IDENTIFICATION FOR SPECTROSCOPIC CLASSIFICATION

    公开(公告)号:EP3518147A1

    公开(公告)日:2019-07-31

    申请号:EP19150264.0

    申请日:2019-01-03

    IPC分类号: G06K9/20 G06K9/62 G01N21/359

    摘要: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

    OPTICL SENSOR DEVICE
    7.
    发明公开

    公开(公告)号:EP3771893A1

    公开(公告)日:2021-02-03

    申请号:EP20188765.0

    申请日:2020-07-30

    摘要: A sensor device may determine a first optical sensor value associated with a first displacement and a second optical sensor value associated with a second displacement, wherein the first displacement is between an emitter associated with the first optical sensor value and a sensing location used to determine the first optical sensor value, wherein the second displacement is between an emitter associated with the second optical sensor value and a sensing location used to determine the second optical sensor value, and wherein the first displacement is different from the second displacement. The sensor device may determine one or more measurements using the first optical sensor value and the second optical sensor value, wherein the one or more measurements relate to a first penetration depth associated with the first optical sensor value, and a second penetration depth associated with the second optical sensor value.

    REDUCED FALSE POSITIVE IDENTIFICATION FOR SPECTROSCOPIC CLASSIFICATION

    公开(公告)号:EP4206653A1

    公开(公告)日:2023-07-05

    申请号:EP23157642.2

    申请日:2019-01-03

    摘要: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.