公开(公告)号：US20190026890A1

公开(公告)日：2019-01-24

申请号：US16034426

申请日：2018-07-13

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YOSHIHIDE SAWADA ,  YOSHIKUNI SATO ,  TORU NAKADA

IPC: G06T7/00 ,  G06T3/40 ,  G01N27/447

CPC classification number: G06T7/0012 ,  G01N27/44717 ,  G01N27/44756 ,  G06F3/04842 ,  G06T3/40 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A display control apparatus includes a memory and a circuit. The circuit obtains an electrophoretic image from the memory, causes a display to display the electrophoretic image as a first display image, receives a selection of a first pixel in the electrophoretic image displayed on the display, obtains one or more first useful proteins corresponding to the first pixel and one or more second useful proteins corresponding to one or more second pixels, a length between the first pixel and each of the one or more second pixels being less than or equal to a first length among the pixels, and causes the display to display the electrophoretic image, the one or more first useful proteins, and the one or more second useful proteins as a second display image.

公开(公告)号：US20180055446A1

公开(公告)日：2018-03-01

申请号：US15666864

申请日：2017-08-02

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YOSHIKUNI SATO ,  TORU NAKADA

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/11

Abstract: An exercise test evaluation system includes an acceleration sensor that is worn by a user during an exercise test and acquires acceleration values of a foot of the user, a heart rate sensor that is worn by the user and measures a heart rate of the user, and a processor. The processor acquires a first maximum acceleration value and a second maximum acceleration value, calculates a reliability score using the first and second maximum acceleration values, acquires a walking velocity and a heart rate of the user and estimates a maximum oxygen intake amount using the user's walking velocity and heart rate if the reliability score is equal to or higher than a specific threshold value, and estimates the maximum oxygen intake amount using the user's walking velocity if the reliability score is lower than the specific threshold value.

公开(公告)号：US20160330389A1

公开(公告)日：2016-11-10

申请号：US15215790

申请日：2016-07-21

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YASUHIKO ADACHI ,  YOSHIKUNI SATO ,  HIDETO MOTOMURA

IPC: H04N5/357 ,  H04N5/225

CPC classification number: H04N5/357 ,  G02B21/0008 ,  H04N5/217 ,  H04N5/2256 ,  H04N5/23232 ,  H04N5/349

Abstract: An image generating system according to an aspect of the present disclosure includes an image obtaining device, an image generating circuit, and an image processing circuit. The image obtaining device includes an illuminating system that irradiates an object included in a module in which the object and an imaging element are integrated together, with light sequentially from a plurality of different radiation directions. The image obtaining device obtains a plurality of images corresponding to the plurality of different radiation directions. The image generating circuit generates a high-resolution image of the object having a higher resolution than each of the plurality of images by combining the plurality of images together. The image processing circuit detects noise resulting from a foreign object located farther from an imaging surface of the imaging element than the object and removes the noise.

Abstract translation: 根据本公开的一个方面的图像生成系统包括图像获取装置，图像生成电路和图像处理电路。 图像获取装置包括：照射系统，其从多个不同的辐射方向依次照射包括在其中物体和成像元件集成在一起的模块中的物体。 图像获取装置获得与多个不同的辐射方向对应的多个图像。 图像产生电路通过将多个图像组合在一起而产生具有比每个图像更高的分辨率的对象的高分辨率图像。 图像处理电路检测由与成像元件的成像面相比离异物远离物体的噪声，并消除噪声。

公开(公告)号：US20190098034A1

公开(公告)日：2019-03-28

申请号：US16135520

申请日：2018-09-19

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： KENSUKE WAKASUGI ,  YOSHIKUNI SATO

IPC: H04L29/06 ,  G06N3/08 ,  G06T7/13 ,  G06T7/12 ,  G06T7/136

Abstract: An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.

公开(公告)号：US20170056725A1

公开(公告)日：2017-03-02

申请号：US15231100

申请日：2016-08-08

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： TORU NAKADA ,  YOSHIKUNI SATO

IPC: A63B24/00 ,  A61B5/107 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/103

CPC classification number: A63B24/0062 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/1038 ,  A61B5/1072 ,  A61B5/112 ,  A61B5/486 ,  A61B5/4866 ,  A61B5/7225 ,  A61B5/7278 ,  A63B2220/22 ,  A63B2220/30 ,  A63B2230/01 ,  A63B2230/06 ,  G06F19/3481 ,  G16H50/30

Abstract: A walking-load-degree calculation apparatus includes a rate obtainer that obtains a rate that is a heart rate or a pulse rate of a user, a walking speed obtainer that obtains one or more walking speeds of the user during a walk, a weight obtainer that obtains a weight of the user, and a walking-load-degree calculator that calculates a walking load degree that is an indicator of cardiopulmonary exercise of the user during the walk.

Abstract translation: 步行加载度计算装置包括：速率获取器，其获得作为用户的心率或脉搏率的速率;步行速度获取器，其获取步行期间的用户的一个或多个步行速度;权重获取器 其获得用户的体重，以及步行负荷度计算器，其计算作为步行期间用户的心肺运动的指标的步行负荷程度。

公开(公告)号：US20180060511A1

公开(公告)日：2018-03-01

申请号：US15666950

申请日：2017-08-02

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YOSHIKUNI SATO ,  TORU NAKADA ,  YOSHIHIDE SAWADA

IPC: G06F19/00 ,  G06N3/04 ,  G06N3/08

CPC classification number: G16H50/20 ,  G06N3/0436 ,  G06N3/0445 ,  G06N3/0472 ,  G06N3/08 ,  G16H20/30 ,  G16H40/63

Abstract: An apparatus generates motor function estimation information by performing a process including calculating, using a sensor value of a subject, a feature vector corresponding to a feature value of a feature in a time segment, acquiring a first weight vector using the feature vector and a motor ability value of the subject, calculating a gradient vector with respect to the feature vector, determining a new time segment in the predetermined time period and a new feature value based on the new time segment, calculating, using the sensor value, a feature candidate vector corresponding to a feature value of the new feature in the new time segment, determining a feature candidate vector satisfying a predetermined condition associated with a gradient vector based on a difference between the feature candidate vector and the feature vector, and correcting the first weight vector to a second weight vector using the feature candidate vector.

公开(公告)号：US20180025271A1

公开(公告)日：2018-01-25

申请号：US15641063

申请日：2017-07-03

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YOSHIHIDE SAWADA ,  TORU NAKADA ,  YOSHIKUNI SATO

IPC: G06N3/08 ,  G06F17/16 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06F17/16 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/084

Abstract: A learning apparatus includes at least one memory and at least one circuit. The circuit (a) obtains a first neural network that has learned by using source learning data and obtains target learning data, the target learning data including a plurality of first data items each of which is given a first label and a plurality of second data items each of which is given a second label, (b) obtains a plurality of first output vectors by inputting the plurality of first data items to a second neural network and obtains a plurality of second output vectors by inputting the plurality of second data items to the second neural network, and (c) generates a first relation vector corresponding to the first label by using the plurality of first output vectors and generates a second relation vector corresponding to the second label by using the plurality of second output vectors.

公开(公告)号：US20170055650A1

公开(公告)日：2017-03-02

申请号：US15206424

申请日：2016-07-11

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： YOSHIKUNI SATO ,  TORU NAKADA

IPC: A45B3/04 ,  F21V23/04 ,  A45B9/02 ,  F21V14/02 ,  A45B3/08 ,  A45B9/04

CPC classification number: A45B3/04 ,  A45B3/08 ,  A45B9/02 ,  A45B9/04 ,  F21V14/02 ,  F21V23/0492 ,  F21Y2115/10 ,  F21Y2115/30

Abstract: A walking stick includes a main part that is stick-like, a sensor that detects at least one of an acceleration of the main part and an angular velocity of the main part, a light emitter that emits light on a ground, a balance evaluator that evaluates a user's walking balance stability based on at least one of the detected acceleration and the detected angular velocity, and an emitting controller that controls a light emitting direction of the light based on a result of the evaluation and an inclination angle of the main part.

Abstract translation: 手杖包括棒状的主要部分，传感器，其检测主要部分的加速度和主要部分的角速度中的至少一个，在地面上发光的发光体，平衡评估器， 基于检测到的加速度和所检测的角速度中的至少一个来评估用户的步行平衡稳定性;以及发射控制器，其基于评估结果和主要部分的倾斜角来控制光的发光方向。