Samsung Electronics Co., Ltd.

Hyun-joo Jung

Sung-jin Kim

Seong-je Cho

In-kwon Choi

Hyun-soo Choi

Gun-hee Lee

Jeong-gun Lee

Jae-geol Cho

Kwang-bok Kim

Chul-ho Cho

Hyoung-seon Choi

Sang-Hyun Baek

Kyoung-jin Moon

Young-jae Oh

Joo-Won Rhee

Jee-yeon Kim

Seo-young Yoon

Jong-Min Lim

A server is disclosed. The server comprises: a communication interface for communicating with a user terminal device and an electronic device; a storage for storing healthcare information corresponding to an avatar of a user; and a processor for acquiring the healthcare information corresponding to the avatar of the user from the storage when information including the avatar of the user and health data is received from the user terminal device, and controlling the communication interface such that guide information for guiding user behavior is transmitted to the user terminal device and/or the electronic device on the basis of the acquired healthcare information and the received health data.

Server, portable terminal device, electronic device, and control method therefor

Disclosed is a manufacturing method for a bio-sensor. The present manufacturing method comprise the steps of: preparing an acidic solution comprising an enzyme and a molecule containing a catechol group; an immersing electrodes in the acidic solution and applying a voltage to the electrodes, thereby attaching a structure, which is generated by a reaction of the enzyme and the molecule containing a catechol group, to the electrodes.

Bio-sensor and manufacturing method therefor

The present disclosure relates to an artificial intelligence (AI) system for simulating functions of a human brain such as cognition and decision-making by using machine learning algorithms such as deep learning, and applications thereof. In particular, the present disclosure provides a method of recognizing an object by using an AI system and its application, including: extracting pieces of first feature information respectively regarding a plurality of images, each image including an object; generating at least one piece of second feature information representing a correlation between the plurality of images by combining together the extracted pieces of first feature information respectively regarding the plurality of images; and recognizing, based on the at least one piece of second feature information, the object included in each of the plurality of images by using a pre-generated learning network model.

Method and apparatus for recognizing object

Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc., and an application of the AI system. Provided are an AI system and a method of recognizing an object according to the application of the AI system, the method including: obtaining a plurality of pieces of sensor data about the object from a plurality of different types of sensors; converting at least some of the plurality of pieces of sensor data into two-dimensional (2D) sensor data; and recognizing the object by using a previously generated learning network model based on 2D image data obtained from an image sensor, which is one of the plurality of sensors, and the 2D sensor data.

A bio marker detection device and a method for detecting or generating a bio marker from a plurality of strip sensors are provided. The bio marker detection device includes a close-up lens for detecting an image for the plurality of strip sensors, a transparent frame surrounding the close-up lens to evenly pass light from an outside to the plurality of strip sensors, and a strip sensor holder inlet configured for combining the plurality of strip sensors with the bio marker detection device. The method includes detecting a plurality of bio markers from a plurality of sensors, generating user health information based on the detected plurality of detected bio markers, and displaying the generated user health information.

Bio marker detection device, electronic device, and method for generating health information

Growing community of inventors

Seoul, South Korea

Hyun-joo Jung