Casio Computer Co., Ltd.

Kouichi Nakagome

Takashi Yamaya

Keisuke Shimada

Kazuhisa Matsunaga

Michihiro Nihei

Yoshihiro Kawamura

Mitsuyasu Nakajima

Tomoaki Nagasaka

Yasushi Maeno

Masayuki Hirohama

Akira Hamada

Shinichi Matsui

Tomohiko Murakami

Shigeru Kafuku

Tetsuji Makino

Yoshihiro Teshima

Yuichi Onumata

Katsuhiko Satoh

A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor. The processor acquires a waveform signal representing vibrations of a target, the vibrations resulting from heartbeats of the target; extracts provisional heartbeat timings from the acquired waveform signal based on a first time window; the provisional heartbeat timings indicating provisional values of heartbeat timings being timings at which the heartbeats of the target occur; acquires corrective peak timings from the acquired waveform signal based on a second time window having a shorter time length than the first time window, each of the corrective peak timings serving as a discrete correction unit for correction of the provisional heartbeat timings; corrects the extracted provisional heartbeat timings into definitive heartbeat timings based on the acquired corrective peak timings; and acquires bioinformation on the heartbeats of the target based on the corrected heartbeat timings.

Bioinformation acquiring apparatus, bioinformation acquiring method, and non-transitory recording medium

A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

A CAP detection device configured to acquire pulse wave data of a subject, derive a baseline of the data and an envelope of the baseline, identify a local maximum point of the envelope and determine, as CAP candidate points, a first local maximum point of the baseline before the local maximum point of the envelope and a second local maximum point of the baseline after the local maximum point, and identify, for each CAP candidate point, a third local maximum point of the baseline before the CAP candidate point and a local minimum point of the baseline between the CAP candidate point and the third local maximum point and detect the CAP candidate point as a CAP based on an evaluation value obtained from a difference between the CAP candidate point and the third local maximum point and a difference between the CAP candidate point and the local minimum point.

Cyclic alternative pattern (CAP) detection device, cyclic alternative pattern (CAP) detection method, and recording medium

A more endearing robot includes an operation unit that causes the robot to operate, a viewing direction determiner that determines whether a viewing direction of a predetermined target is toward the robot or not, and an operation controller that controls the operation unit based on a result of determination by the viewing direction determiner.

More endearing robot, method of controlling the same, and non-transitory recording medium

A voice recognition device provided with a processor configured to determine a breathing period immediately before uttering which is a period in which a lip of a target person has moved with breathing immediately before uttering based on a captured image of the lip of the target person, to detect a voice period which is a period in which the target person is uttering without including the breathing period immediately before uttering determined above based on the captured image of the lip of the target person captured, to acquire a voice of the target person, and to recognize the voice of the target person based on the voice of the target person acquired above within the voice period detected above.

Voice recognition device and voice recognition method

A determination result is easily obtained even in expression determination on a face image that is not a front view. A Robot includes a camera, a face detector, a face angle estimator, and an expression determiner. The camera acquires image data. The face detector detects a face of a person from the image data acquired by the camera. The face angle estimator estimates an angle of the face detected by the face detector. The expression determiner determines an expression of the face based on the angle estimated by the face angle estimator.

Expression determination device, expression determination method, and recording medium

The present invention is to reduce the time required to detect an object after completion of the rotation of a head or a body of a robot. A robotincludes a camera, and a control unitwhich determines an overlapping area between a first image captured with the cameraat first timing and a second image captured with the cameraat second timing later than the first timing to detect an object included in an area of the second image other than the determined overlapping area.

Object detection device, object detection method, and recording medium

A voice input unit has predetermined directivity for acquiring a voice. A sound source arrival direction estimation unit operating as a first direction detection unit detects a first direction, which is an arrival direction of a signal voice of a predetermined target, from the acquired voice. Moreover, a sound source arrival direction estimation unit operating as a second direction detection unit detects a second direction, which is an arrival direction of a noise voice, from the acquired voice. A sound source separation unit, a sound volume calculation unit, and a detection unit having an S/N ratio calculation unit detect a sound source separation direction or a sound source separation position, based on the first direction and the second direction.

Sound source separation for robot from target voice direction and noise voice direction

A feature extractor extracts feature quantities from a digitized speech signal and outputs the feature quantities to a likelihood calculator. A distance determiner determines the distance between a user providing speech and a speech input unit. The likelihood calculator selects registered expressions for speech recognition from a recognition target table based on the determined distance, to be used in calculation of likelihoods at the likelihood calculator. The likelihood calculator calculates likelihoods for the selected registered expressions based on the feature quantities extracted by the feature extractor, and outputs one of the registered expressions having the maximum likelihood as a result of speech recognition.

Speech recognition device, speech recognition method, non-transitory recording medium, and robot

A robot determines whether a voice is a voice emanated directly from an actual person or is a voice output from a speaker of an electronic device. A controller of a robot detects a voice by means of microphones, determines whether or not a voice generating source of the detected voice is a specific voice generating source, and controls, based on a result of the determination, the robot by means of a neck joint and a chassis.

Voice detection, apparatus, voice detection method, and non-transitory computer-readable storage medium

A mobile apparatus according to the present embodiment includes a voice input unit configured to detect a signal from a user. In a case where the voice input unit detects a signal from the user and as a detection result of the signal from the user, it is determined that there is a signal from the user, the mobile apparatus performs sound source localization and specifies a location or direction in which the detected signal from the user is given. In a case where it is determined that the mobile apparatus is not able to move to the location where the signal from the user is given, a voice output unit configured to output a voice signal, a driving unit configured to move the mobile apparatus, and a light emitting unit configured to emit light performs predetermined control.

Mobile apparatus, method of controlling the same, and recording medium

An image processing device having a CPU which functions as units including an image acquiring unit that acquires a plurality of images indicative of a sequence of actions of a subject; a selecting unit that selects, in accordance with an operation by a user, one of a partial action from among a plurality of kinds of partial actions included in the sequence of actions of the subject; an image selecting unit that selects a plurality of images corresponding to the specific kind of partial action selected by the selecting unit from among the plurality of images acquired by the image acquiring unit; and an image composition unit that generates a composite image wherein the composite image includes the plurality of images.

Image processing device that generates a composite image

A speech determiner determines whether or not a target individual is speaking when facial images of the target individual are captured. An emotion estimator estimates the emotion of the target individual using the facial images of the target individual, on the basis of the determination results of the speech determiner.

Emotion estimation apparatus using facial images of target individual, emotion estimation method, and non-transitory computer readable medium

A video is generated from multi-aspect images. For each frame of the output video, a provisional video is created with provisional images which are used to designate a position of a target object on which to focus and to acquire a depth map showing a depth of the object, and which are reconstructed using default values from LFIs as the frames. Then, information designating coordinates of focal positions of the target object on the provisional video is acquired. A list creator acquires the depth value of the target object using a depth map created from the LFI of the current frame, and records this in a designation list after obtaining the reconstruction distance from the depth value. A corrector corrects the designation list. A main video creator creates and outputs a main video with reconstructed images focused at a focal length designated by the post-correction designation list as frames.

Image processing device and image processing method having function for reconstructing multi-aspect images, and recording medium

A drawing apparatus includes a drawing unit that forms a nail design on a nail of an object by performing a plurality of processes and a processor that extracts a feature value of the object and controls the drawing unit. The processor acquires information on a performed process with respect to the nail of one object, whose nail is provided to be formed with the nail design, based on process management information in which the feature value with respect to each of a plurality of the objects and an information on the performed process with respect to the nail of each of the plurality of the objects are registered in association with each other and the feature value with respect to the one object, and determines a specific process to be performed to the nail of the one object, and causes the drawing unit to perform the specific process.

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Tokorozawa, Japan

Kouichi Nakagome