SPECTROSCOPIC CLASSIFICATION OF CONFORMANCE WITH DIETARY RESTRICTIONS
    1.
    发明公开
    SPECTROSCOPIC CLASSIFICATION OF CONFORMANCE WITH DIETARY RESTRICTIONS 审中-公开
    符合膳食限制的光谱分类

    公开(公告)号:EP3287955A2

    公开(公告)日:2018-02-28

    申请号:EP17187826.7

    申请日:2017-08-24

    IPC分类号: G06K9/62 G06K9/68

    摘要: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    摘要翻译: 设备可以接收基于由第一光谱仪执行的一组光谱测量生成的分类模型。 该设备可以将分类模型存储在数据结构中。 该装置可以接收来自第二光谱仪的未知样品的光谱测量。 该设备可以从数据结构中获得分类模型。 基于光谱测量和分类模型,设备可以将未知样品分类为洁净或非洁食组或非Halal或非Halal组。 该设备可以基于对未知样本的分类来提供识别未知样本的信息。

    HEALTH TRACKING DEVICE
    4.
    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.

    SPECTROSCOPIC CLASSIFICATION OF CONFORMANCE WITH DIETARY RESTRICTIONS

    公开(公告)号:EP3287955A3

    公开(公告)日:2018-03-28

    申请号:EP17187826.7

    申请日:2017-08-24

    IPC分类号: G06K9/62 G06K9/68

    摘要: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    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.

    TRANSFER OF A CALIBRATION MODEL USING A SPARSE TRANSFER SET
    7.
    发明公开
    TRANSFER OF A CALIBRATION MODEL USING A SPARSE TRANSFER SET 审中-公开
    一种使用稀疏传输集的标定模型传递

    公开(公告)号:EP3276333A1

    公开(公告)日:2018-01-31

    申请号:EP17183707.3

    申请日:2017-07-28

    IPC分类号: G01N21/27 G01J3/02 G06K9/62

    摘要: A device may obtain a master calibration set, associated with a master calibration model of a master instrument, that includes spectra, associated with a set of samples, generated by the master instrument. The device may identify a selected set of master calibrants based on the master calibration set. The device may obtain a selected set of target calibrants that includes spectra, associated with the subset of the set of samples, generated by the target instrument. The device may create a transfer set based on the selected set of master calibrants and the selected set of target calibrants. The device may create a target calibration set, corresponding to the master calibration set, based on the transfer set. The device may generate, using an optimization technique associated with the transfer set and a support vector regression modeling technique, a transferred calibration model, for the target instrument, based on the target calibration set.

    摘要翻译: 设备可以获得与主仪器的主校准模型相关联的主校准组,该主校准组包括与由主仪器生成的一组样本相关联的光谱。 该设备可以基于主校准组识别选定的一组主校准物。 该装置可以获得选定的一组目标校准物,其包括与目标仪器生成的与该组样品的子集相关联的光谱。 该设备可以基于所选择的一组主标校准和所选择的一组目标校准标准来创建传送组。 该设备可以基于传送组创建与主校准组对应的目标校准组。 该设备可以使用与传递集合和支持向量回归建模技术相关联的优化技术,基于目标校准集合为目标仪器生成传递的校准模型。

    RAW MATERIAL IDENTIFICATION USING SPECTROSCOPY
    8.
    发明公开
    RAW MATERIAL IDENTIFICATION USING SPECTROSCOPY 审中-公开
    IDENTIFIZIERUNG VON ROHMATERIAL MIT SPEKTROSKOPIE

    公开(公告)号:EP3136270A1

    公开(公告)日:2017-03-01

    申请号:EP16185432.8

    申请日:2016-08-24

    IPC分类号: G06F19/00

    摘要: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

    摘要翻译: 设备可以接收识别未知样品的光谱测量结果的信息。 该装置可以基于光谱测量的结果和全局分类模型来执行未知样本的第一分类。 设备可以基于第一分类生成本地分类模型。 该装置可以基于光谱测量和局部分类模型的结果对未知样品进行第二次分类。 该装置可以基于执行第二分类来提供识别与未知样本相关联的类别的信息。

    IDENTIFICATION USING SPECTROSCOPY
    9.
    发明公开

    公开(公告)号:EP3822977A1

    公开(公告)日:2021-05-19

    申请号:EP20217282.1

    申请日:2016-08-24

    摘要: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

    FOCUSING LINEAR MODEL CORRECTION AND LINEAR MODEL CORRECTION FOR MULTIVARIATE CALIBRATION MODEL MAINTENANCE

    公开(公告)号:EP3594954A2

    公开(公告)日:2020-01-15

    申请号:EP19185599.8

    申请日:2019-07-10

    IPC分类号: G16C20/70

    摘要: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.