Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Sang-goog Lee"'
Publikováno v:
Sensors, Vol 21, Iss 13, p 4607 (2021)
Elderly people are not likely to recognize road signs due to low cognitive ability and presbyopia. In our study, three shapes of traffic symbols (circles, squares, and triangles) which are most commonly used in road driving were used to evaluate the
Externí odkaz:
https://doaj.org/article/efb6d5ac0a8a469b85f2db5f91d1efec
Autor:
Dong-Woo Koh, Sang-Goog Lee
Publikováno v:
Sensors, Vol 19, Iss 12, p 2828 (2019)
The elderly are more susceptible to stress than younger people. In particular, heart palpitations are one of the causes of heart failure, which can lead to serious accidents. To prevent heart palpitations, we have devised the Safe Driving Intensity (
Externí odkaz:
https://doaj.org/article/6549db26dcc3470a941e448c60a97140
Autor:
Woo-Hyuk Jung, Sang-Goog Lee
Publikováno v:
Applied Sciences, Vol 7, Iss 11, p 1205 (2017)
This study proposes electrocardiogram (ECG) identification based on non-fiducial feature extraction using window removal method, nearest neighbor (NN), support vector machine (SVM), and linear discriminant analysis (LDA). In the pre-processing stage,
Externí odkaz:
https://doaj.org/article/3c701e02117647dc9be43e93f33492d3
Publikováno v:
Sensors, Vol 17, Iss 10, p 2282 (2017)
In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture model (GMM)-supervector to enhance training speed and classification accuracy in motor imagery brain–computer interfaces. The proposed method is config
Externí odkaz:
https://doaj.org/article/dea142ca3a8d4faebbb1b0392d4c7896
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26:498-505
For the last few years, many feature extraction methods have been proposed based on biological signals. Among these, the brain signals have the advantage that they can be obtained, even by people with peripheral nervous system damage. Motor imagery e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ef6885f14998746b34d4364c48cbe6
https://doi.org/10.1109/tnsre.2017.2757519
https://doi.org/10.1109/tnsre.2017.2757519
Publikováno v:
The Journal of Korean Institute of Information Technology. 16:103-110
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ccbc7173a322908b9310f1d1ec83cfc
https://doi.org/10.14801/jkiit.2018.16.1.103
https://doi.org/10.14801/jkiit.2018.16.1.103
Publikováno v:
The Journal of Korean Institute of Information Technology. 15:127-134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c3754b22f5fb98460ed55b782de8c5
https://doi.org/10.14801/jkiit.2017.15.10.127
https://doi.org/10.14801/jkiit.2017.15.10.127
Autor:
Sang-Goog Lee
Publikováno v:
The Journal of Korean Institute of Information Technology. 15:121-126
본 연구에서는 주성분분석과 선형판별분석에서 추출한 계수의 특징 결합과 적합도 평가기법을 이용하여 분류 정확도를 향상 시키는 부정맥 분류 방법을 제안한다. 전처리 단계에서는 대역
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc618e60207c850a51f19fdefa453c40
https://doi.org/10.14801/jkiit.2017.15.10.121
https://doi.org/10.14801/jkiit.2017.15.10.121
Publikováno v:
Journal of Korean Institute of Information Technology. 15:67-74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c842c217a4dc03b653014b32f3078e47
https://doi.org/10.14801/jkiit.2017.15.8.67
https://doi.org/10.14801/jkiit.2017.15.8.67
Publikováno v:
Journal of Korean Institute of Information Technology. 15:1-8
Brain-Computer Interface(BCI) 연구는 신호처리, 공학, 재활의학 분야에서 활발히 진행되고 있다. 동작 상상 Electroencephalogram(EEG)를 분석하기 위한 방법으로 Common Spatial Pattern(CSP)는 매우 유용하여 많
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6656d6ab6f91e97d4bd29754e2eff5d1
https://doi.org/10.14801/jkiit.2017.15.7.1
https://doi.org/10.14801/jkiit.2017.15.7.1