Lg Innotek Co., Ltd.

Haii Corp.

Haii Co, Ltd.

Chan Yeong Park

Dong Han Kim

Ji An Choi

Ho Yung Kim

Hye Bin Hwang

Byung Hun Yun

Hyun Jeong Ko

Bo Hee Kim

Su Yeon Park

Jong Hyun Kim

Geon Ha Kim

Jee Hang Lee

Bo Ri Kim

Disclosed is a method of identifying dementia by at least one processor of a device. The method includes performing a first task that causes a first object to be displayed on a first region of a screen displayed on a user terminal; and when a preset condition is satisfied, performing a second task that causes at least one object, which induces the user's gaze, to be displayed instead of the first object on the screen of the user terminal.

Identifying a dementia based on gaze information of user performing task on a screen and gaze task score

Disclosed is a method of training the dementia identification model. More particularly, the method may include obtaining test result data through at least one of a first task related to Stroop test, a second task related to a computational power test, and a third task related to a memory test; and labeling the test result data with a score value to train the dementia identification model.

Technique for training dementia identification model based on test result data

Disclosed is a method of identifying, by at least one processor of a device, a cognitive function state of a user. The method may include inputting user information, at least one voice data, and speech time information related to the at least one voice data to a cognitive function state identification model, and identifying a cognitive function state of the user based on first output data that is output by the cognitive function state identification model.

Technique for identifying cognitive function state of user

Disclosed is a method of identifying dementia by at least one processor of a device. The method may include obtaining content analysis information and voice activity analysis information by using a plurality of first voice data and second voice data which have been obtained by performing a plurality of tasks in a user terminal, and identifying dementia by inputting the content analysis information and the voice activity analysis information to a dementia identification model.

Technique for identifying dementia based on voice data

A thermoelectric module with high efficiency is provided. The thermoelectric module may include a first substrate including a plurality of first electrodes, a second substrate provided opposite the first substrate and including a plurality of second electrodes, a plurality of thermoelectric devices provided between the first substrate and the second substrate and electrically connected to the first electrodes and the second electrodes, and a wire connection hole configured to penetrate through at least one of the first substrate and the second substrate and expose a portion of at least one surface of the first electrodes and the second electrodes.

Thermoelectric module and heat converter including the same

A photovoltaic apparatus includes a support substrate; a back electrode layer on the support substrate; a light absorbing layer on the back electrode layer; and a front electrode layer on the light absorbing layer, wherein the support substrate comprises: a base layer; a first stepped portion on the base layer; and a second stepped portion disposed aside the first stepped portion on the base layer, and wherein the second stepped portion is thicker than the first stepped portion.

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Seoul, South Korea

Chan Yeong Park