Vuno, Inc.

Samsung Electronics Co., Ltd.

The Asan Foundation

Ye Ha Lee

Eun Bi Koh

Min Eok Chang

Hyun Jun Kim

Sang Ki Kim

Jung Hwan Baek

Jin Seong Lee

Kyu Hwan Jung

Yu Sub Sung

Hee Mang Yoon

Woo Hyun Shim

Display panel with graphical user interface

Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Method and program for computing bone age by deep neural network

An apparatus and a method for emotion recognition are provided. The apparatus for emotion recognition includes a frame parameter generator configured to detect a plurality of unit frames from an input speech and to generate a parameter vector for each of the unit frames, a key-frame selector configured to select a unit frame as a key frame among the plurality of unit frames, an emotion-probability calculator configured to calculate an emotion probability of each of the selected key frames, and an emotion determiner configured to determine an emotion of a speaker based on the calculated emotion probabilities.

Apparatus and method for emotion recognition

Growing community of inventors

Hwaseong-si, South Korea

Ye Ha Lee