中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

19 records (took 0.013 seconds)

    GESTURE RECOGNITION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM PRODUCT THEREFOR
    1.
    发明申请
    GESTURE RECOGNITION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM PRODUCT THEREFOR 审中-公开

    公开(公告)号：US20180164894A1

    公开(公告)日：2018-06-14

    申请号：US15889859

    申请日：2018-02-06

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri ,  Alessandro Capra

    IPC: G06F3/01 ,  G06F3/044 ,  G06F3/0488 ,  G06F3/041

    CPC classification number: G06F3/017 ,  G06F3/0416 ,  G06F3/044 ,  G06F3/04883 ,  G06F2203/04108

    Abstract: Hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for sets of X-node and Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of sensing signals and not for the other of set. Finger shapes are distinguished over “ghosts” generated by palm or fist features by transforming the node-intensity representation for the sensing signals into a node-distance representation based on distances of detection intensities for a number of nodes under a peak for a mean point between valleys adjacent to the peak.

    Gesture recognition method, apparatus and device, computer program product therefor
    2.
    发明授权
    Gesture recognition method, apparatus and device, computer program product therefor 有权

    公开(公告)号：US09910503B2

    公开(公告)日：2018-03-06

    申请号：US14450105

    申请日：2014-08-01

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri ,  Alessandro Capra

    IPC: G06F3/033 ,  G06F3/01 ,  G06F3/041 ,  G06F3/044 ,  G06F3/0488

    CPC classification number: G06F3/017 ,  G06F3/0416 ,  G06F3/044 ,  G06F3/04883 ,  G06F2203/04108

    Abstract: In an embodiment, hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row locations and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for a set of X-node sensing signals and for a set of Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of X-node and Y-node sensing signals while remaining stationary for the other of the sets of X-node and Y-node sensing signals(Y). Finger shapes are distinguished over “ghosts” generated by palm or fist features by transforming the node-intensity representation for the sensing signals into a node-distance representation, based on the distances of the detection intensities for a number of nodes under a peak for a mean point between the valleys adjacent to the peak.

    METHOD AND SYSTEM FOR PROCESSING AN ELECTRIC SIGNAL TRANSDUCED FROM A VOICE SIGNAL
    3.
    发明申请
    METHOD AND SYSTEM FOR PROCESSING AN ELECTRIC SIGNAL TRANSDUCED FROM A VOICE SIGNAL 有权

    公开(公告)号：US20210065688A1

    公开(公告)日：2021-03-04

    申请号：US17000892

    申请日：2020-08-24

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri ,  Filippo Naccari

    IPC: G10L15/08 ,  G10L15/22 ,  G10L15/04 ,  G10L15/16

    Abstract: A method of processing an electrical signal transduced from a voice signal is disclosed. A classification model is applied to the electrical signal to produce a classification indicator. The classification model has been trained using an augmented training dataset. The electrical signal is classified as either one of a first class and a second class in a binary classification. The classifying being performed is a function of the classification indicator. A trigger signal is provided to a user circuit as a result of the electrical signal being classified in the first class of the binary classification.

    Method and system for finger sensing, related screen apparatus and computer program product
    5.
    发明授权
    Method and system for finger sensing, related screen apparatus and computer program product 有权

    公开(公告)号：US09804713B2

    公开(公告)日：2017-10-31

    申请号：US14037359

    申请日：2013-09-25

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri ,  Alessandro Capra

    IPC: G06F3/044 ,  G06F3/041

    CPC classification number: G06F3/044 ,  G06F3/0416

    Abstract: An embodiment of a method for processing finger-detection data produced by a touch screen includes: computing the area of the finger-data map and extracting the main axes from the finger-data map, computing the lengths and orientations of the main axes, determining from the main axes a major axis having a major-axis orientation, computing a geometrical center and a center of mass of the finger-data map, computing an eccentricity of the finger-data map as a function of the lengths of the main axes outputting the major-axis orientation as indicative of the finger-orientation direction in the plane of the screen, outputting the mutual position of the geometrical center and the center of mass of the finger-data map as indicative of finger-pointing direction along the finger-orientation direction in the plane of the screen, and outputting a combination of the eccentricity and the area of the finger data map as indicative of finger orientation with respect to the plane of the screen.

    VOCAL COMMAND RECOGNITION
    8.
    发明申请
    VOCAL COMMAND RECOGNITION 有权

    公开(公告)号：US20220406298A1

    公开(公告)日：2022-12-22

    申请号：US17351870

    申请日：2021-06-18

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri ,  Viviana D'Alto

    IPC: G10L15/16 ,  G10L15/22 ,  G10L25/24 ,  G10L15/02 ,  G10L25/21 ,  G10L15/06 ,  G06N3/04

    Abstract: A method to detect a vocal command, the method including: analyzing audio data received from a transducer configured to convert audio into an electric signal and analyzing the data using a first neural network. The method also includes detecting a keyword from the audio data using the first neural network on the edge device, the first neural network being trained to recognize the keyword. The method further includes activating a second neural network after the keyword is identified by the first neural network and analyzing the audio data using the second neural network, the second neural network being trained to recognize a set of vocal commands. The method to detect a vocal command may also include detecting the vocal command word using the second neural network.

    Trigger to keyword spotting system (KWS)
    9.
    发明授权
    Trigger to keyword spotting system (KWS) 有权

    公开(公告)号：US11335332B2

    公开(公告)日：2022-05-17

    申请号：US16708983

    申请日：2019-12-10

    Applicant: STMicroelectronics S.r.l.

    Inventor： Nunziata Ivana Guarneri

    IPC: G10L15/00 ,  G10L15/08 ,  G10L15/04 ,  G10L15/16 ,  G10L15/22 ,  G10L25/24 ,  H04R1/08

    Abstract: In accordance with embodiments, methods and systems for a trigger to the KWS are provided. The computing device converts an audio signal into a plurality of audio frames. The computing device generates a Mel Frequency Cepstral Coefficients (MFCC) matrix. The MFCC matrix includes N columns. Each column of the N columns comprises coefficients associated with audio features corresponding to a different audio frame of the plurality of audio frames. The computing device determines that a trigger condition is satisfied based on an MFCC_0 buffer. The MFCC_0 buffer comprises a first row of the MFCC matrix. The computing device then provides the MFCC matrix to a neural network for the neural network to use the MFCC matrix to make keyword inference based on the determining that the trigger condition is satisfied.

Patent Agency Ranking