Panasonic Intellectual Property Management Co., Ltd.

Nec Corporation

Panasonic Intellectual Property Corporation of America

Showa Denko K.k.

Panasonic Corporation

Nippon Electric Co., Ltd.

Yoshikuni Sato

Hideto Motomura

Toru Nakada

Kazuki Kozuka

Yasuaki Wakizaka

Yoshihide Sawada

Yasuhiko Adachi

Takahiro Hiyama

Jun Ozawa

Kenji Kondo

Kazutoyo Takata

Yoshihiro Matsumura

Yuichi Kamijo

Daisuke Kono

Taichi Hamatsuka

Takahiro Aihara

Kengo Wada

Takashi Terashima

Yasushi Ooi

Akira Matsubara

Takashi Uchida

Hitoshi Yamahata

Kouji Maemura

Kensuke Wakasugi

Naoto Kawaguchi

Daisuke Miyamoto

Toshiya Takahashi

Kei Koya

Manabu Yumine

Kouhei Yamanishi

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

A leg muscle strength estimation system includes: an obtainer that obtains an image including a user that is walking as a subject of the image; and an estimator that estimates a leg muscle strength of the user based on the obtained image.

Leg muscle strength estimation system and leg muscle strength estimation method

A cognitive function evaluation method in a cognitive function evaluation device that evaluates a cognitive function based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one of an angle of an ankle joint of one foot and an angle of a knee joint of one leg of the subject; and determining a cognitive function level of the subject using at least one of the angle of the ankle joint and the angle of the knee joint.

Cognitive function evaluation method, cognitive function evaluation device, and non-transitory computer-readable recording medium in which cognitive function evaluation program is recorded

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 falling asleep prediction device includes a biological data acquisition unit that acquires biological information on a subject, a falling asleep prediction unit that predicts that the subject falls asleep after predetermined time by using the biological information, and a notification processing unit that notifies that the subject falls asleep after the predetermined time.

Information processing device, information processing method, and computer-readable recording medium recording information processing program

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.

Learning apparatus, identifying apparatus, learning and identifying system, and recording medium

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.

Motor function estimation information generation apparatus, motor function estimation system, motor function estimation information generation method, motor function estimation method and storage medium

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.

Anomaly detection method and recording medium

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.

Exercise test evaluation system, exercise test evaluation apparatus, exercise test evaluation method, and non-transitory computer readable recording medium

A graphite powder, preferably including scale-like particles, which satisfies the following formulae (1) and (2), wherein e(0.5) represents the initial charge-discharge efficiency of a coin cell fabricated from an electrode (work electrode) produced by compressing an electrode material employing graphite powder as an active material under a pressure of 0.5 t/cm, a lithium metal counter electrode, a separator and an electrolytic solution; and e(3) represents the initial charge-discharge efficiency of a coin cell fabricated from an electrode (work electrode) produced by compressing an electrode material employing graphite powder as an active material under a pressure of 3 t/cm, a lithium metal counter electrode, a separator and an electrolytic solution:(3)(%)&#x2212;(0.5)(%)&#x2265;1,&#x2003;&#x2003;formula (1):(3)(%)&#x3e;85.&#x2003;&#x2003;formula (2):Also disclosed is a method of producing the graphite powder; a graphite material for a battery electrode; an electrode for a lithium ion; and a lithium-ion secondary battery.

Graphite power for negative electrode active material of lithium-ion secondary battery

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.

Display control apparatus, display control method, and recording medium

A method for producing a graphite powder for a negative electrode of a lithium ion secondary battery, including a process of graphitizing a mixture of a carbon raw material powder and a silicon carbide powder, wherein a 90% particle diameter in a volume-based cumulative particle size distribution by laser diffraction method, D, is 1 to 40 &#x3bc;m, a silicon carbide content in a total mass of a carbon raw material and silicon carbide (mass of silicon carbide/total mass of the carbon raw material and silicon carbide) is 1 to 35 mass %, the ratio of a 50% particle diameter in a volume-based cumulative particle size distribution by laser diffraction method, D, of the carbon raw material powder to Dof silicon carbide powder (Dof the carbon raw material powder/Dof silicon carbide powder) is 0.40 to 4.0.

Method for producing graphite powder for negative electrode materials for lithium ion secondary batteries

A non-flaky carbon material having specific optical structures, wherein the ratio between the peak intensity I110 of (110) plane and the peak intensity I004 of (004) plane of a graphite crystal determined by the powder XRD measurement, I110/I004, is 0.10 or more and 0.35 or less; an average circularity is 0.80 or more and 0.95 or less; d002 is 0.337 nm or less; and the total pore volume of pores having a diameter of 0.4 &#x3bc;m or less measured by the nitrogen gas adsorption method is 25.0 &#x3bc;l/g or more and 40.0 &#x3bc;l/g or less. Also disclosed is a method for producing the carbon material, a carbon material for a battery electrode, a paste for an electrode incorporating the carbon material for a battery electrode, an electrode for a lithium battery incorporating a formed body of the paste for an electrode, a lithium-ion secondary battery including the electrode and a method for producing the electrode.

Carbon material, method for producing same, and use for same

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.

Growing community of inventors

Fukui, Japan

Yoshikuni Sato