Panasonic Intellectual Property Management Co., Ltd.

Panasonic Corporation

Hitachi, Ltd.

Matsushita Electric Industrial Co., Ltd.

Panasonic Holdings Corporation

Panasonic Intellectual Property Corporation of America

Jun Ozawa

Tsuyoshi Inoue

Yumiko Kato

Mototaka Yoshioka

Shinobu Adachi

Satoshi Matsuura

Takeo Azuma

Koji Morikawa

Eiichi Naito

Takahiro Kudo

Hiroyuki Motoyama

Hiroshi Kutsumi

Takashi Tajima

Satoshi Sato

Yuko Tsusaka

Yudai Fudaba

Takeshi Imanaka

Kenta Murakami

Yumi Wakita

Yuri Nishikawa

Katsuji Shindo

Takahiro Kudoh

Jeffry Fernando

Kazuya Ooishi

Stephen William John

Kouji Miura

Tokio Yamagiwa

Katsuyoshi Yamagami

Toshio Ishikawa

Shingo Shirakawa

Mayumi Komatsu

Naoshi Kondo

Tetsuhito Suzuki

Yusuke Kato

Kenji Kondo

Fumihiro Endo

Hirohiko Kimura

Hideyuki Yoshida

Mihoko Shimano

Yoshitaka Yagihashi

Shinichi Fujimoto

Harumi Itoh

Yuuichi Ogawa

Katsuhiro Kanamori

Hiroshi Yamada

Kenya Uomori

Yoshikuni Sato

Toru Tanigawa

Youichi Ohshita

Hidemi Henmi

Akinori Matsumoto

Izumi Yamada

Yuzuru Kamata

Hashime Nagai

Takahiro Hiyama

Mitsuo Sawairi

Akio Mizukoshi

Yoshi Akatsu

Katuji Shindo

Takayuki Nagata

Kunio Nobori

Taro Imagawa

Katsuhiko Asai

Kazuo Inoue

Yukio Kurosawa

Mikiya Nakata

Shoichi Araki

Susumu Maruno

Masato Tanaka

Yasuro Hori

Katsuji Aoki

Toru Nakada

Seizo Nakano

Yoshihisa Terada

Takeo Yamazaki

Yuichi Ogawa

Shigeo Shiono

Masaaki Sano

Satoshi Watahiki

Takahide Matsuo

Takehiro Kikuchi

Eiji Noguchi

Goro Suzuki

Keiichi Yokoyama

Souksakhone Bounyong

Seiichi Maruyama

Masao Hosokawa

Masaoki Tamura

Misaka Kimura

Yuya Watanabe

Syuichi Terakado

Tosio Isikawa

Rikizo Ishikawa

Kaoru Endo

Takeuchi Shigetaka

Fusataka Kuniyoshi

Jeffry Bonar Fernando

Hiroshi Nittono

A support apparatus includes a generation apparatus and an analysis apparatus. The generation apparatus executes (a-1) to (a-5) with I=1 to n, and generates pieces of process information. The generation apparatus extracts material words from a document i in (a-1), extracts a treatment word i from the document i in (a-2), extracts a synthesis condition i from the document i in (a-3), extracts a characteristic value i related to a target material from the document i in (a-4), and associates the material words, the treatment word i, the synthesis condition i, and the characteristic value i with each other to generate process information i in (a-5). The analysis apparatus includes a combiner that generates composite process information including a common part common to the pieces of process information and different parts different among the pieces of process information, and an outputter that outputs the composite process information.

Support apparatus, generation apparatus, analysis apparatus, support method, generation method, analysis method, and non-transitory computer-readable recording medium

A lower limb muscle strength evaluation device acquires an angle of at least one of left and right lower limbs of a user while the user stands up from a sitting state, detects at least one lower limb parameter from among a first lower limb maximum value indicating the angle when the lower limb is initially inclined the most in a first direction, a lower limb minimum value indicating the angle when the lower limb is inclined the most in a second direction, a second lower limb maximum value indicating the angle when the lower limb is again inclined the most in the first direction, a first lower limb elapsed time, a second lower limb elapsed time, and a third lower limb elapsed time, evaluates a lower limb muscle strength of the user using the at least one lower limb parameter, and outputs an evaluation result.

Lower limb muscle strength evaluation method, non-transitory computer-readable recording medium storing lower limb muscle strength evaluation program, lower limb muscle strength evaluation device, and lower limb muscle strength evaluation system

An actuator apparatus includes an actuator, a setter, an operation controller, and an acquirer. The operation controller is configured to control the actuator to take out an object from a placement table. The actuator includes a suction nozzle configured to suck and hold the object. The acquirer is configured to acquire a difference between a first moment applied to the suction nozzle and a second moment applied to the suction nozzle when the object is taken out by the suction nozzle by a first taking-out movement distance. The operation controller is configured to control whether or not to further continue taking-out the object, based on the difference between the first moment and the second moment.

Actuator apparatus, object taking-out method using actuator apparatus, and object taking-out system

A visiting duration corresponding to a first current location is determined, on the basis of the first current location and a destination, a first traveling duration that is necessary for a user to travel from the first current location to the destination is calculated, on the basis of a first time, the visiting duration corresponding to the first current location, and the first traveling duration, a first expected arrival time is calculated, on the basis of a first scheduled delivery time and the first expected arrival time, a first difference is calculated, a first message in accordance with the first difference is transmitted to a first information terminal of the user, and the first information terminal displays the first message.

Information providing method and information providing apparatus

A computer obtains a chest X-ray image, detects boundary lines in the chest X-ray image using a model constructed through machine learning, sets a third lung area including at least one of a first lung area or a second lung area, extracts a vascular index indicating at least one of thickness or density of at least one pulmonary blood vessel present in an area included in the third lung area, determines whether the area included in the third lung area is in an abnormal state on a basis of the vascular index and a reference index based on indices extracted in advance from an area in chest X-ray images in a normal state corresponding to the area included in the third lung area, and outputs, if determining that the area included in the third lung area is in an abnormal state, information indicating a result of the determination.

Method for detecting abnormality, non-transitory computer-readable recording medium storing program for detecting abnormality, abnormality detection apparatus, server apparatus, and method for processing information

A delivery notification mail for notifying each of users of information regarding a corresponding one of packages to be delivered by a delivery vehicle is transmitted to a first information terminal () owned by the user. Opening time information indicating an opening time of each of the delivery notification mails is received from the corresponding first information terminal (). A degree of interest of each of the users in the corresponding package is calculated. The degree of interest is calculated on the basis of a difference between a transmission time of the delivery notification mail corresponding to each of the packages and the opening time indicated by the opening time information. Order of delivery of the packages is set on the basis of the degrees of interest. Delivery order information indicating the order of delivery is transmitted to a second information terminal ().

Presentation device and presentation method

A method for controlling display of an abnormality includes obtaining a target chest X-ray image, detecting a structure including a linear structure formed of a first linear area that has been drawn by projecting anatomical structures whose X-ray transmittances are different from each other or a second linear area drawn by projecting an anatomical structure including a wall of a trachea, a wall of a bronchus, or a hair line, calculating an indicator for determining the abnormal state from the structure, comparing the indicator with a reference indicator, and determining whether the structure is in the abnormal state, and displaying, if it is determined that the structure is in the abnormal state, an image of an area of the target chest X-ray image including the structure determined to be in the abnormal state and details of the abnormal state.

Method for controlling display of abnormality in chest x-ray image, storage medium, abnormality display control apparatus, and server apparatus

A method for converting tone of a chest X-ray image includes obtaining a target chest X-ray image, detecting, in the target chest X-ray image using a model obtained as a result of machine learning, a structure including a linear structure formed of a first linear area that has been drawn by projecting anatomical structures whose X-ray transmittances are different from each other or a second linear area drawn by projecting an anatomical structure including a wall of a trachea, a wall of a bronchus, or a hair line, extracting a pixel group corresponding to a neighboring area of the structure, generating a contrast conversion expression for histogram equalization using a histogram of the pixel group, and converting luminance of each pixel value in entirety of the target chest X-ray image using the contrast conversion expression.

Method for converting tone of chest X-ray image, storage medium, image tone conversion apparatus, server apparatus, and conversion method

A three-dimensional display device configured to display a main image and an additional image on a screen includes a display region candidate decider that decides one candidate region from a plurality of region candidates for the additional image to be superimposed on the main image on the screen, a depth suitability determiner that determines whether a difference between a depth of the main image displayed at a boundary region and a depth of the additional image is within a predetermined tolerance range, and an image composer that, when the difference in depth between the depth of the main image displayed at the boundary region and the depth of the additional image is within the tolerance range, superimposes the additional image upon the main image at the candidate region, thereby composing a composite image of the main image and the additional image, and displays the composite image on the screen.

Three-dimensional display device and three-dimensional display method

A detecting device obtains a first body motion signal from a body motion sensor while a person walks with a predetermined stride, the body motion sensor being attached to a body of the person and configured to detect a body motion of the person, obtains a reference-walk-waveform from a memory, the reference-walk-waveform being generated from a second body motion signal obtained from the body motion sensor while the person walks with the predetermined stride with the body motion sensor attached to an initially attached position, compares the obtained reference-walk-waveform with a waveform of the obtained first body motion signal to determine whether an attached position of the body motion sensor is shifted from the initially attached position, and outputs a determination result.

Detecting method, detecting device, and detecting system

A walking assistance apparatus includes a knee fastener, a heel fastener, a first wire and a second wire connected to the knee fastener and the heel fastener, a first motor connected to the first wire, a second motor connected to the second wire, and a control circuit that controls the first motor and the second motor. The first wire is connected to a first position included in a right-half region of the heel fastener. The second wire is connected to a second position included in a left-half region of the heel fastener. The control circuit acquires gait information of the user, and, based on the gait information, the control circuit controls the first motor to reduce a length of the first wire and the second motor to reduce a length of the second wire at a predetermined timing.

Walking assistance apparatus

A pulse wave measuring apparatus includes a visible light receiver having a first surface and a pulse wave calculator. When a vehicle with the visible light receiver is viewed from a side, the first surface is in a first region between a first optical path of first reflection light and a second optical path of second reflection light, first light comes from an eye of a user on a seat of the vehicle, second light comes from a cheek of the user, an upper end of a rearview mirror of the vehicle reflects the first light to produce the first reflection light and reflects the second light to produce the second reflection light, and the pulse wave calculator calculates a pulse wave of the user on the basis of a waveform of visible light received by the visible light receiver via the first surface and outputs the calculated pulse wave.

Pulse wave measuring apparatus and pulse wave measuring method

A people stream analysis apparatus includes an image information capturer that captures an external appearance image of a person, a person recognizer that recognizes the person from the external appearance image, a store inferrer that identifies from the external appearance image a possession carried by the person, and infers from the identified possession a store from which the possession has been obtained, a memory that stores, in an associated form, person information indicating the recognized person, store information indicating the inferred store, and time information indicating time at which the external appearance image has been captured, and an arrival store order determiner that determines an order of stores in which the person has visited, based on a change in a time sequence of listing of stores indicated by the store information stored on the memory.

People stream analysis method, people stream analysis apparatus, and people stream analysis system

A standing-up assistance apparatus includes a first sensor that measures a muscle potential of a lower leg of a user, a second sensor that measures a knee angle of the user, a processor that determines whether starting to assist the user in a standing-up motion from a seated state is possible, based on, at least, the measured muscle potential and the measured knee angle, and outputs an instruction signal if the processor determines that starting to assist the user in the standing-up motion is possible, and an assistance mechanism. The assistance mechanism starts assisting the user in the standing-up motion when the assistance mechanism receives the instruction signal from the processor.

Standing-up assistance apparatus, standing-up assistance method, and non-transitory computer-readable recording medium

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Nara, Japan

Jun Ozawa