Electronics and Telecommunications Research Institute

Samsung Electronics Co., Ltd.

Su-Young Chi

Jae-Yeon Lee

Kye-Kyung Kim

Hyun-Soo Kim

Do-Hyung Kim

Jae-Hong Kim

Kyung-Ae Moon

Je-Han Yoon

Young-Jo Cho

Hye-Jin Kim

Sung-Woong Shin

Ho-Sub Yoon

Weon-Geun Oh

Ji-Hyo Lee

Woo-Han Yun

Soo-Hyun Cho

Sang-Seung Kang

Young-Sup Hwang

Dae-Geun Jang

Disclosed are a personalized exercise service providing method and an apparatus thereof. A personalized exercise service providing apparatus according to an example includes a user class identifier configured to identify user class of a user; an exercise data acquirer configured to acquire exercise data of the user; and a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user to provide the most effective exercise model to each user through user recognition.

Personalized exercise service providing method and apparatus thereof

A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.

System and method for verifying face of user using light mask

A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.

User authentication system and method thereof

A method for analyzing structure of a treatise type of document image in order to detect a title, an author and an abstract region and recognize the content in each of the regions is provided. In order to analyze the structure of a treatise type of document, first, the document image divided into a number of regions and the divided regions are classified into text regions and non-text regions according to attributes of the regions. And then, the candidate regions representing an abstract and an introduction is selected, thereafter word regions are extracted from the candidate regions, and an abstract content portion is determined. Thereafter, the title and the author are separated by using the basic form and the type definition representing an arrangement of each of journals. Finally, the content of the separated regions is recognized to generate said table of contents.

Method for analyzing structure of a treatise type of document image

Growing community of inventors

Daejeon, South Korea

Su-Young Chi