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    ELECTRONIC FITNESS TRAINER AND METHOD FOR OPERATING AN ELECTRONIC FITNESS TRAINER
    2.
    发明申请
    ELECTRONIC FITNESS TRAINER AND METHOD FOR OPERATING AN ELECTRONIC FITNESS TRAINER 审中-公开
    电子维修培训员和操作电子健身培训员的方法

    公开(公告)号：US20130137552A1

    公开(公告)日：2013-05-30

    申请号：US13679132

    申请日：2012-11-16

    Applicant: Sony Corporation

    Inventor： Thomas KEMP ,  Stephen Tiedemann ,  Dietmar Schill

    IPC: A63B24/00

    CPC classification number: A63B24/0062 ,  G09B19/0038

    Abstract: A device for controlling and supervising a user during performing a fitness exercise at a fitness device (electronic Fitness Trainer) comprises a controller module for selecting at least one music piece suited for executing the fitness exercise according to a training plan, for monitoring biofeedback data obtained from the user during executing the exercise, for monitoring device data obtained from the fitness device during executing the exercise and for controlling other components of the device, an explanation module for generating an explanation message, a correction module for generating a correction message, a feedback module for generating a feedback message and an input/output module for receiving biofeedback data from the user and device data from the fitness device and for outputting the explanation message, the correction message and the feedback message as well as the selected at least one music piece to the user.

    Abstract translation: 一种用于在健身装置（电子健身训练器）执行健身运动期间用于控制和监督用户的装置包括：控制器模块，用于根据培训计​​划选择适于执行健身运动的至少一个乐曲，用于监视获得的生物反馈数据 在执行锻炼期间从用户监视在执行锻炼期间从健身装置获得的装置数据和用于控制装置的其他部件的装置数据，用于产生解释消息的说明模块，用于产生校正消息的校正模块，反馈 用于生成反馈消息的模块和用于从用户接收生物反馈数据的输入/输出模块和来自健身器材的装置数据，并用于输出说明消息，校正消息和反馈消息以及所选择的至少一个音乐片段 给用户

    Artificial neural network
    3.
    发明授权
    Artificial neural network 有权

    公开(公告)号：US12045715B2

    公开(公告)日：2024-07-23

    申请号：US16244183

    申请日：2019-01-10

    Applicant: Sony Corporation

    Inventor： Javier Alonso Garcia ,  Fabien Cardinaux ,  Kazuki Yoshiyama ,  Thomas Kemp ,  Stephen Tiedemann ,  Stefan Uhlich

    IPC: G06N3/08 ,  G06N3/084 ,  G06N5/04

    CPC classification number: G06N3/08 ,  G06N3/084 ,  G06N5/04

    Abstract: A computer-implemented method of training an artificial neural network (ANN) by generating a first learned parameter for use in normalising input data values during a subsequent inference phase of the trained ANN. The method includes, for each of a series of batches of training data values, deriving a batch variance of the batch of training data values and a running variance of all training data values already processed in the training phase; generating an approximation of a current value of the first learned parameter so that a first scaling factor dependent upon the approximation of the first learned parameter and the running variance, is constrained to be equal to a power of two; and normalizing the batch of input data values by a second scaling factor dependent upon the approximation of the current value of the first learned parameter and the batch variance.

    ARTIFICIAL NEURAL NETWORK
    5.
    发明申请
    ARTIFICIAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20190258931A1

    公开(公告)日：2019-08-22

    申请号：US16280059

    申请日：2019-02-20

    Applicant: Sony Corporation

    Inventor： Javier Alonso Garcia ,  Fabien Cardinaux ,  Kazuki Yoshiyama ,  Thomas Kemp ,  Stephen Tiedemann ,  Stefan Uhlich

    IPC: G06N3/08 ,  G06N3/04 ,  G06F17/18

    Abstract: A computer-implemented method of generating a modified artificial neural network (ANN) from a base ANN having an ordered series of two or more successive layers of neurons, each layer passing data signals to the next layer in the ordered series, the neurons of each layer processing the data signals received from the preceding layer according to an activation function and weights for that layer comprises: detecting the data signals for a first position and a second position in the ordered series of layers of neurons; generating the modified ANN from the base ANN by providing an introduced layer of neurons to provide processing between the first position and the second position with respect to the ordered series of layers of neurons of the base ANN; deriving an initial approximation of at least a set of weights for the introduced layer using a least squares approximation from the data signals detected for the first position and a second position; and processing training data using the modified ANN to train the modified ANN including training the weights of the introduced layer from their initial approximation.

    ARTIFICIAL NEURAL NETWORK
    6.
    发明申请
    ARTIFICIAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20190220741A1

    公开(公告)日：2019-07-18

    申请号：US16244183

    申请日：2019-01-10

    Applicant: Sony Corporation

    Inventor： Javier Alonso Garcia ,  Fabien Cardinaux ,  Kazuki Yoshiyama ,  Thomas Kemp ,  Stephen Tiedemann ,  Stefan Uhlich

    IPC: G06N3/08 ,  G06N5/04

    CPC classification number: G06N3/08 ,  G06N3/084 ,  G06N5/04

    Abstract: A computer-implemented method of training an artificial neural network (ANN) by generating a first learned parameter for use in normalising input data values during a subsequent inference phase of the trained ANN. The method includes, for each of a series of batches of training data values, deriving a batch variance of the batch of training data values and a running variance of all training data values already processed in the training phase; generating an approximation of a current value of the first learned parameter so that a first scaling factor dependent upon the approximation of the first learned parameter and the running variance, is constrained to be equal to a power of two; and normalizing the batch of input data values by a second scaling factor dependent upon the approximation of the current value of the first learned parameter and the batch variance.

    NFC device, reader/writer device and methods for authorizing and performing an update
    8.
    发明授权
    NFC device, reader/writer device and methods for authorizing and performing an update 有权

    公开(公告)号：US10277283B2

    公开(公告)日：2019-04-30

    申请号：US15681511

    申请日：2017-08-21

    Applicant: Sony Corporation

    Inventor： Stephen Tiedemann

    IPC: H04B5/00 ,  G06F9/54 ,  H04W4/80

    Abstract: An NFC device comprises a function unit configured to execute a function based on related command code, a storage unit configured to store the command code, a communication unit configured to communicate with another NFC device, and a processing unit configured, if an update of the command code shall be made by the another NFC device, to calculate a checksum over at least part of the command code, to compare the calculated checksum with a checksum received from the another NFC device and to authorize the update if the received checksum matches the calculated checksum.

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