Emocog Co., Ltd.

Famenity Co., Ltd.

Yoo Hun Noh

Ha Min Cho

Bo Won Seo

Eun Jung Lee

So Yeon Kim

Do Hee Kim

Ji Won Lee

Jeong Min Lee

Ji Ae Park

Eui Chul Lee

Seng Ah Lee

So Eui Kim

Na Hye Kim

Ji Won Mok

Na Yeon Han

Yoon Hwa Jeong

Young Ja Kim

Su Gyeong Yu

A device and a method for gaze tracking based on machine learning are proposed. In one aspect, the device includes an input unit configured to input an image including a face, and a feature point detection processor configured to detect first feature points in the image including the face. The device may also include a face direction detection processor configured to detect a direction of the face based on the detected first feature points, and an eye-ball direction detection processor configured to detect an eye-ball direction, which is a feature of an eye-ball, from the detected first feature points. The device may further include a model training processor configured to train a gaze tracking model by using the detected first feature points and the eye-ball direction, and a gaze tracking processor configured to perform gaze tracking by using a trained gaze tracking model.

Apparatus and method for gaze tracking based on machine learning

This application relates to a device and a method for voice-based trauma screening using deep learning. The device and method for voice-based trauma screening using deep learning screen for trauma through voices that may be obtained in a non-contact manner without limitations of space or situation. In one aspect, the device includes a memory configured to store at least one program and a processor configured to perform an operation by executing the at least one program. The processor can obtain voice data, pre-process the voice data, convert pre-processed voice data into image data, and input the image data to a deep learning model and obtain a trauma result value as an output value of the deep learning model.

Device and method for voice-based trauma screening using deep-learning

Display screen or portion thereof with graphical user interface

Display screen or portion thereof with animated graphical user interface

Display screen or portion thereof with transitional graphical user interface

This application relates to a method of constructing a training program for improving symptoms of a mild cognitive impairment patient. In one aspect, the method includes arranging, on designated days, direct training algorithms regarding at least one of visualization, fusion, or semantic word fluency directly related to a cognitive function area and controlling the arranged direct training algorithms to be output to a user terminal according to the designated days, and receiving a result value from the user terminal. The method may also include calculating an achievement level for each direct training algorithm, based on the result value, and determining one of the direct training algorithms based on the calculated achievement level. The method may further include rearranging the direct training algorithms, together with the determined direct training algorithm based on both the calculated achievement level and a training algorithm matched to the determined direct training algorithm.

Method and system for constructing training program for improving symptoms of mild cognitive impairment patient

The present invention relates to a detoxifying composition containing a new green extract, which is a medicinal herb, as an active ingredient. Thus, toxicities in the human body can be efficiently removed without side effects by activating an enzyme necessary for detoxification.

Detoxifying composition containing new green extract as active ingredient

The present disclosure relates to a use of a dandelion extract and a Rooibos extract. The present disclosure also relates to a food composition and a pharmaceutical composition for preventing and improving climacteric, including a dandelion extract, or a dandelion and Rooibos composite extract as an active ingredient.

Composition for enhancing male sex hormone and men's health

Growing community of inventors

Seoul, South Korea

Yoo Hun Noh