Abstract: A method, computer system, and a computer program product for speech feature distribution is provided. The present invention may include receiving two or more speech samples from a user. The present invention may include dividing the two or more speech samples into a a plurality of pause segments. The present invention may include determining a pause duration for each of the plurality of pause segments. The present invention may include determining a distribution of pause durations. The present invention may include determining a distance between the distribution of pause durations.

Abstract: Aspects of the present disclosure relate to a system receiving an infrared (IR) image, receiving a depth map associated with the IR image, applying one or more filters to the IR image based on a set of parameters, generating a 2D pose for a subject based on the filtered IR image, and generating a 3D pose by correlating the 2D pose to the depth map.

Abstract: Optimized learning settings of neural networks are efficiently determined by an apparatus including a processor and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to train a first neural network with a learning setting; extract tentative weight data from the first neural network with the learning setting; calculate an evaluation value of the first neural network with the learning setting; and generate a predictive model for predicting an evaluation value of a second neural network with a new setting based on tentative weight data of the second neural network by using a relationship between the tentative weight data of the first neural network and the evaluation value of the first neural network.

Abstract: A computer-implemented method for supporting detection of a sign of cognitive decline is disclosed. In the method, two or more sets of conversation data of a target individual are obtained. The method includes combining at least two sets of the conversation data corresponding to plural different days to generate a combined set and extracting one or more linguistic features that represent vocabulary richness from at least the combined set. A feature that characterizes word repetitiveness in conversations across the plural different days of the target individual is calculated from the one or more linguistic features. The feature that characterizes the word repetitiveness is output.

Abstract: A technique for estimating activity of a plurality of muscles is disclosed. In this technique, for each of two or more muscles included in a musculoskeletal body model, a set of time-series data of muscle state change that accompanies motion of a body is acquired. A correlation between the sets of time-series data for a pair of muscles included among the two or more muscles is calculated. An activity of a plurality of muscles included in the musculoskeletal body model in a motion state that is an estimation target is estimated using an objective function including a constraint using the correlation of the sets of time-series data.

Abstract: A body frame structure forming a side part of an automobile includes an outer panel, an inner panel that forms a closed space elongated in a first direction between the inner panel and the outer panel, a metal outer R/F disposed within the closed space, a resin R/F disposed within the closed space, and a foam disposed within the closed space. The closed space includes a three-layer structure including the outer R/F, the resin R/F, and the foam filling a space between the outer R/F and the resin R/F.

Abstract: A computer-implemented method for estimating an age of a target individual includes obtaining information of eye movement of the target individual, analyzing the information of the eye movement to extract a feature of the eye movement, and estimating the age of the target individual using the feature of the eye movement.

Abstract: A computer-implemented method for supporting detection of a sign of cognitive decline is disclosed. In the method, a reference set of conversational data recorded for an individual and one or more sets of conversational data recorded for the individual on different days from the reference set are obtained. The method includes evaluating at least a temporal separation between conversations corresponding to the reference set and each of the one or more sets of the conversational data determine a value of the temporal separation. The method also includes determining topic similarity between the reference set and each of the one or more sets of the conversational data. A feature is generated for the individual based, at least in part, on relationship between the value and the topic similarity, and the computed feature is then sent as a message corresponding to a diagnosis.

Abstract: A computer-implemented method for supporting detection of a sign of cognitive decline is disclosed. In the method, two or more sets of conversation data of a target individual are obtained. The method includes combining at least two sets of the conversation data corresponding to plural different days to generate a combined set and extracting one or more linguistic features that represent vocabulary richness from at least the combined set. A feature that characterizes word repetitiveness in conversations across the plural different days of the target individual is calculated from the one or more linguistic features. The feature that characterizes the word repetitiveness is output.

Abstract: Volume rendering is performed by a computer system, comprising: obtaining an original volume data, wherein the original volume data comprises a plurality of voxels, transforming each voxel of the plurality of voxels of the original volume data, for each voxel of the plurality of voxels, generating a particle from the transformed volume data with a probability corresponding to: ?log(1?an opacity of each voxel), and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: Volume rendering is performed by a computer program product, comprising: obtaining an original volume data, wherein the original volume data comprises a plurality of voxels, transforming each voxel of the plurality of voxels of the original volume data, for each voxel of the plurality of voxels, generating a particle from the transformed volume data with a probability corresponding to: ?log(1?an opacity of each voxel), and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: Volume rendering is performed by a method, comprising: obtaining an original volume data, transforming the original volume data based on a distance from a viewpoint to the original volume data, to generate transformed volume data, generating particles from the transformed volume data, and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: Volume rendering is performed by a method, comprising: obtaining an original volume data, transforming the original volume data based on a distance from a viewpoint to the original volume data, to generate transformed volume data, generating particles from the transformed volume data, and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: A technique for estimating activity of a plurality of muscles is disclosed. In this technique, for each of two or more muscles included in a musculoskeletal body model, a set of time-series data of muscle state change that accompanies motion of a body is acquired. A correlation between the sets of time-series data for a pair of muscles included among the two or more muscles is calculated. An activity of a plurality of muscles included in the musculoskeletal body model in a motion state that is an estimation target is estimated using an objective function including a constraint using the correlation of the sets of time-series data.

Abstract: A body frame structure forming a side part of an automobile includes an outer panel, an inner panel that forms a closed space elongated in a first direction between the inner panel and the outer panel, a metal outer R/F disposed within the closed space, a resin R/F disposed within the closed space, and a foam disposed within the closed space. The closed space includes a three-layer structure including the outer R/F, the resin R/F, and the foam filling a space between the outer R/F and the resin R/F.

Abstract: Volume rendering is performed by a method, comprising: obtaining an original volume data, transforming the original volume data based on a distance from a viewpoint to the original volume data, to generate transformed volume data, generating particles from the transformed volume data, and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: Volume rendering is performed by a method, comprising: obtaining an original volume data, transforming the original volume data based on a distance from a viewpoint to the original volume data, to generate transformed volume data, generating particles from the transformed volume data, and projecting the particles on an image plane to obtain a 2D image corresponding to the original volume data.

Abstract: A computer-implemented method for estimating an age of a target individual includes obtaining information of eye movement of the target individual, analyzing the information of the eye movement to extract a feature of the eye movement, and estimating the age of the target individual using the feature of the eye movement.

Abstract: A computer-implemented method for estimating a mental state of a target individual includes obtaining information of eye movement of the target individual in a coordinate system, in which the coordinate system determines a point representing eye movement by an angle and/or a distance with respect to a reference point that is related to a center of an object showing a scene, analyzing the information of the eye movement to extract a feature of the eye movement defined in relation to the coordinate system, and estimating the mental state of the target individual using the feature of the eye movement.

Abstract: A computer-implemented method for estimating a mental state of a target individual includes obtaining first time series data representing pupil dynamics of one eye and second time series data representing pupil dynamics of other eye from the target individual, analyzing the first and second time series data to extract a feature of the eye movement, in which the feature represents relationship of the pupil dynamics between the one eye and the other eye, and estimating the mental state of the target individual using the feature of the eye the movement.