KOSEN 한인과학기술자네트워크

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네트워크

네트워크

다양한 연구실 탐방기사 보기
다양한 연구실 탐방기사 보기

전기전자

BIOIMAGING AND BRAIN ENGINEERING LABORATORY

2019-10-31 org.kosen.entty.User@60edadf

1. Deep Learning

 

Recurrent Neural Network(RNN)를 활용한 휴먼행위 인식 기술


Recurrent Neural Network(RNN)를 활용한 휴먼행위 인식 기술


Convolutional Neural Network을 활용한 글자 영상 판독 기술


Convolutional Neural Network를 활용한 사람/비사람 영상 판독 기술


 

 

 

Automatic Computer-Aided Diagnosis of Breast Cancer in Digital Mammograms via Deep Belief Network


2. 3D Human Pose Recognition & Human Activity Recognition

 

Hand Gesture Recognition

뎁스 영상 기반 핸드 포즈 인식 기술


Algorithm of 3D Human Pose Recognition


Life-Logging Results & Application Services using Human Activity Recognition based on Depth Sensor


3. Human Activity Recognition using Accelerometer


Activity & Exercise Information Measurement System based on Accelerometer Sensor


Activity & Exercise Information Measurement System based on Accelerometer Sensor


Exercise Information Results using Human Activity Recognition


4. Neural Signal Processing

 

(Neural Activity Modulation via Ultrasound Stimulation Measured on Multi-Channel Electrodes )

 

Experimental Concept   Experiment Setup

Raster plots of neural spikes recorded with 60 channel MEA of Ultrasound stimulation


5. Brain Computer Interface(BCI)


Brain Computer Interface(BCI) Concept


Word typing paradigms. (a) the first paradigm for initial character typing, (b) a screen with the suggested words, (c) the second paradigm for a word selection, and (d) a display showing the final typed word.


6. Sleep Analysis

 

Sleep Analysis

 

Sleep Analysis


Sleep Analysis


Automatic PSG System


 

국가

대한민국

소속기관

경희대학교 (학교)

연락처

031-201-3731 http://BIOIMAGING AND BRAIN ENGINEERING LABORATORY

책임자

김태성 tskim@khu.ac.kr

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