公开(公告)号：US20230288359A1

公开(公告)日：2023-09-14

申请号：US18176833

申请日：2023-03-01

Applicant: Infineon Technologies AG

Inventor： Simon Mittermaier ,  Werner Breuer ,  Cecilia Carbonelli ,  Alexandra Marina Roth ,  Jianyu Zhao ,  Alexander Zoepfl

IPC: G01N27/12 ,  G01N33/00

CPC classification number: G01N27/12 ,  G01N33/0027

Abstract: A gas sensing device includes chemo-resistive gas sensors, wherein each of the gas sensors generates signals corresponding to concentrations of gases in a mixture of gases; a heating arrangement for heating gas sensors according to a periodic temperature profile; a preprocessing processor for receiving the signals from each of the gas sensors and for preprocessing the received signals to generate a preprocessed signal sample for each of the gas sensors for each period of the periodic temperature profile; a feature extraction processor configured for receiving the preprocessed signal samples and for extracting for each of the periods a set of feature values from the preprocessed signal samples received for the respective period; and a gas concentration processor for receiving sets of feature values.

公开(公告)号：US20240159698A1

公开(公告)日：2024-05-16

申请号：US18506556

申请日：2023-11-10

Applicant: Infineon Technologies AG

Inventor： Jianyu Zhao ,  Cecilia Carbonelli ,  Simon Mittermaier ,  Yosra Bahri

IPC: G01N27/12 ,  G01N33/00

CPC classification number: G01N27/12 ,  G01N33/0027

Abstract: A gas sensing device for sensing a target gas in a gas mixture comprises: a measurement module configured for obtaining a sampled measurement signal, the sampled measurement signal being responsive to a concentration of the target gas in the gas mixture; a compensation module configured for compensating the sampled measurement signal using an offset information to obtain a compensated measurement signal; a processing module configured for detecting a sample of the sampled measurement signal, which sample fulfils a set of one or more criteria, and wherein a first criterion of the set of criteria is fulfilled if, according to an evaluation of the sampled measurement signal, the sample is associated with a concentration of the target gas below a threshold, and updating the offset information based on a sample which fulfills the set of criteria.

公开(公告)号：US20250124740A1

公开(公告)日：2025-04-17

申请号：US18914761

申请日：2024-10-14

Applicant: Infineon Technologies AG

Inventor： Sarah Seifi ,  Cecilia Carbonelli ,  Simon Mittermaier ,  Tobias Sukianto

IPC: G06V40/20 ,  G06V10/764

Abstract: In accordance with an embodiment, a method includes using a machine-learning model to infer from at least one feature vector, a gesture class prediction associated with a gesture; and determining at least one feature relevance vector for the at least one feature vector, where each of the at least one feature relevance vector includes feature relevance values, and each of the feature relevance values are indicative of a dependency of the gesture class prediction on respective one or more feature values of the at least one feature vector.

公开(公告)号：US20240159724A1

公开(公告)日：2024-05-16

申请号：US18506533

申请日：2023-11-10

Applicant: Infineon Technologies AG

Inventor： Tobias Sukianto ,  Sebastian Schober ,  Cecilia Carbonelli ,  Simon Mittermaier

IPC: G01N33/00 ,  G06N3/0499 ,  G06N3/096

CPC classification number: G01N33/0062 ,  G06N3/0499 ,  G06N3/096

Abstract: A gas sensing device for sensing a target gas in a gas mixture, including a measurement module configured for obtaining a measurement signal, the measurement signal being responsive to a concentration of the target gas in the gas mixture, and a processing module configured for determining, for each of a sequence of samples of the measurement signal, a set of features, the features representing respective characteristics of the measurement signal, and using a neural network for determining an estimation of the concentration of the target gas based on the sets of features determined for the samples of the sequence, where the neural network comprises an attention layer to weight respective contributions of the samples to the estimation.

公开(公告)号：US20230110328A1

公开(公告)日：2023-04-13

申请号：US17930550

申请日：2022-09-08

Applicant: Infineon Technologies AG

Inventor： Cecilia Carbonelli ,  Simon Mittermaier ,  Sebastian Schober ,  Jianyu Zhao

IPC: G01N33/00 ,  G06N3/08 ,  G06K9/62 ,  G06N3/04

Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources; a preprocessing processor; a feature extraction processor; a discriminative embedding network processor for receiving sets of feature values and for creating for each of the sets of feature values a set of embedded feature values; a classification processor for receiving the sets of embedded feature values and for creating a classification value for each set of the embedded feature values, wherein the classification value indicates a class of a mixture of gases; and a quantification processor for receiving the sets of embedded feature values and the classification values, wherein the quantification processor is creates, for each of the gases, a sensing result for each of the sets of embedded feature values.