Abstract: Provided are a method and system for detecting time-domain cardiac information, the method comprising: obtaining moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; calculating R-peak to R-peak intervals (RRIs) in a predetermined frequency range from the PSV; and obtaining at least one time-domain cardiac parameter by processing the RRIs.

Abstract: A system for predicting an emotion of a user by using a web content includes a URL collection unit for collecting a URL of a web page; a representative URL selection unit for selecting a category-specific representative URL, a basic emotion-specific representative URL, and a dimensional emotion-specific representative URL according to contents included in a plurality of collected URLs; a representative vocabulary set creation unit for creating vocabulary sets representing a category, a basic emotion, and a dimensional emotion, respectively, on the basis of the selected representative URLs; a vocabulary extraction unit for crawling a plurality of texts; and a selection unit for comparing document similarities between the plurality of extracted vocabularies and the vocabulary sets.

Abstract: Provided is a co-movement-based automatic categorization method, which includes: receiving image data created by photographing a plurality of subjects; detecting movement data including information on subjects' behaviors from the image data; determining whether or not co-movement between the subjects has been done during each predetermined time interval, and generating co-movement clusters in synchronized time sections, and non-co-movement clusters in desynchronized time sections depending on results of determination; if the duration time of a co-movement cluster is shorter than a standard co-movement duration time, converting the co-movement cluster to a non-co-movement cluster; categorizing the co-movement clusters by grouping a plurality of co-movement clusters existing in the same timeslot into one group; and forming a social network with a co-movement cluster group or a single co-movement cluster, and issuing a social identification to the social network.

Abstract: Provided are a method and system for noncontact vision-based 3D cognitive fatigue measuring. The method comprises: acquiring pupil images of a subject exposed to visual stimuli; extracting a task evoked pupillary response (TEPR) by using the pupil images; detecting dominant peaks from the TEPR; calculating latency of dominant peaks; and determining cognitive fatigue of the subject by comparing a value of the latency to a predetermined reference value.

Abstract: Described is a smart lighting method and device. A smart lighting control method comprises the steps of: operating a smart bulb, which includes a control unit for controlling at least one lighting attribute among attributes of saturation, brightness, and color-temperature, and an LED lamp operated by the control unit; acquiring a current attribute of the LED lamp by using a smartwatch communicatably connected with the control unit; selecting an attribute to be controlled, through an interface panel of the smartwatch; obtaining a control attribute value for adjusting the lighting attribute, by using a rotation interface of the smartwatch; and transmitting the control attribute value from the smartwatch to the smart bulb and adjusting a lighting attribute of the smart bulb by using the transmitted control attribute value.

Abstract: An automated filament exchange method includes: locating the spool for winding the first filament for the 3D printer; winding the first filament on the subspace of the spool located at the spool location step; allowing the first filament wound at the subspace first filament winding step to pass through a gap formed on the main space flange located between the main space and the subspace; and winding the first filament located at the main space of the spool on the main space of the spool, wherein after the first filament is wound on the subspace of the spool, the first filament passes through the gap and is then wound multi-layeredly on the main space of the spool.

Abstract: A method of producing a realistic virtual avatar by using a change in a pupil size according to heartbeats. The method tracks and records, in real time, a change in a pupil size of the actual user according to heartbeats of the actual user and applies the same to an eye model of a virtual avatar so as to synchronize the pupil size of the eye model with the pupil size of the actual user.

Abstract: Described is a smart lighting method and device. A smart lighting control method comprises the steps of: operating a smart bulb, which includes a control unit for controlling at least one lighting attribute among attributes of saturation, brightness, and color-temperature, and an LED lamp operated by the control unit; acquiring a current attribute of the LED lamp by using a smartwatch communicatably connected with the control unit; selecting an attribute to be controlled, through an interface panel of the smartwatch; obtaining a control attribute value for adjusting the lighting attribute, by using a rotation interface of the smartwatch; and transmitting the control attribute value from the smartwatch to the smart bulb and adjusting a lighting attribute of the smart bulb by using the transmitted control attribute value.

Abstract: An automated filament exchange method includes: locating the spool for winding the first filament for the 3D printer; winding the first filament on the subspace of the spool located at the spool location step; allowing the first filament wound at the subspace first filament winding step to pass through a gap formed on the main space flange located between the main space and the subspace; and winding the first filament located at the main space of the spool on the main space of the spool, wherein after the first filament is wound on the subspace of the spool, the first filament passes through the gap and is then wound multi-layeredly on the main space of the spool.

Abstract: Provided are a method and system for detecting frequency-domain cardiac information, the method comprising: acquiring moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; extracting a heart rate variability (HRV) spectrum by performing a processing procedure including frequency-analysis of HRV; and calculating power of at least one of a plurality of frequency bands by analysis of the HRV spectrum.

Abstract: Provided are a method and system for detecting information of brain-heart connectivity, the method comprising: obtaining moving images of a pupil and an electrocardiogram (ECG) signal from a subject; acquiring a pupil size variation (PSV) from the moving images by separating the moving images at a predetermined time range after R-peak of the ECG signal; extracting signals of a first period and a second period from the PSV; calculating alpha powers of the signals of the first and second periods at predetermined frequencies respectively.

Abstract: Provided are a method and system for non-contact measurement of an electroencephalogram (EEG) spectrum based on pupillary variation. To infer the EEG spectrum from moving images of a subject's pupil, the method includes obtaining moving images of the pupil from the subject, extracting data of pupillary variation from the moving images, extracting a plurality of signals for a plurality of frequency bands based on frequency analysis, and calculating outputs of the plurality of the signals to be used as parameters of a brain-frequency domain.

Abstract: Provided are a method and system for detecting time-domain cardiac information, the method comprising: obtaining moving images of a pupil from a subject; extracting a pupil size variation (PSV) from the moving images; calculating R-peak to R-peak intervals (RRIs) in a predetermined frequency range from the PSV; and obtaining at least one time-domain cardiac parameter by processing the RRIs.

Abstract: Provided are a method and system for noncontact vision-based 3D cognitive fatigue measuring. The method comprises: acquiring pupil images of a subject exposed to visual stimuli; extracting a task evoked pupillary response (TEPR) by using the pupil images; detecting dominant peaks from the TEPR; calculating latency of dominant peaks; and determining cognitive fatigue of the subject by comparing a value of the latency to a predetermined reference value.

Abstract: Provided is a polymer electrolyte membrane for SF6 separation, using a nitrate electrolyte, where the nitrate is solvated in the membrane to thus form ionic aggregates, whereby polar SF6 has difficulty passing through the membrane due to the barrier effect of the ionic aggregates, thus enabling the separation of SF6.