Communications
2024
원지환, 박윤태, 양근보, 박철수, “RGB 입력을 통한 CNN 기반 DVS 생성 및 행동 분류 성능 향상 연구”, 추계 미디어학회, Nov 2024, Seoul
Youngshin Kang, Cheolsoo Park, “Emotion Classification from EEG Data Using Self-supervised Contrastive Predictive Coding”, IEIE 추계 학술대회, Nov 2024
류한웅, 원지환, 양지석, 박윤태, 양근보, 박철수, “멀티모달 대형 언어 모델을 이용한 제로샷 인간 행동 인식”, IEIE 추계 학술대회, Nov 2024
박윤태, 이지운, 원지환, 이정환, 류한웅, 박종길, 박철수, “근전도(EMG) 신호 분류를 위한 스파이크 신경망 기반 트랜스포머”, IEIE 추계 학술대회 Nov 2024
이지홍, 강영신, 양지석, 이현태, 유성기, 박철수, “Homographic Adaptation 적용을 통한 손톱 주름 모세혈관의 의미론적 분할 성능 향상”, IEIE 하계 학술대회, Jun 2024
원지환, 이정환, 박윤태, 이충섭, 송현주, 박철수, “다중 모달리티를 활용한 휴먼 제스처 인식: 이벤트 및 프레임 기반 3-스트림 융합 네트워크”, IEIE 하계 학술대회, Jun 2024
양지석, 양근보, 이정환, 박철수, “Large Language Models의 제로샷 기법을 적용한 렌터카 차량 가격 예측”, IEIE 하계 학술대회, Jun 2024
류한웅, 박철수, “렌터카 가격 예측을 위한 Lag-Llama 모델의 제로샷 기법 적용”, IEIE 하계 학술대회, Jun 2024
권동욱, 강영신, 김현중, 유성기, 박철수, “사이버-물리 시스템에서의 이상 감지를 위한 양방향 접근 방식”, IEIE 하계 학술대회, Jun 2024
박윤태, 이충섭, 송현주, 원지환, 박철수, “전처리 기법과 Spiking Neural Network를 이용한 근전도 기반 손동작 분류 모델”, 의용생체공학회 춘계 학술대회, May 2024
남유상, 이정환, 권새힘, 이현태, 손량희, 박철수, “Remote Photoplethymography을 이용한 감정 인식”, 의용생체공학회 춘계 학술대회, May 2024
이지운, 박윤태, 이현태, 박철수, “2-자유도 로봇 팔 제어를 위한 뉴로모픽 스파이크 기반 강화 학습”, IEIE 인공지능신호처리 학술대회, Oct 2024
Hyeonjung Kim, Youngshin Kang, Geunbo Yang, Cheolsoo Park, “Generalized ECG Feature Learning and Arrhythmia Classification Using Contrastive Predictive Coding”, IBEC 2024, Oct 2024
Jihong Lee, Youngshin Kang, Minji Kim, Jihwan Won, Dongwook, Cheolsoo Park, “Impact of Segmentation Improvement on White Blood Cell Counting Accuracy”, IBEC 2024, Oct 2024
Yusang Nam, Junghwan Lee, Hyuntae Lee, Cheolsoo Park, “Application of remote heart rate estimation on a treadmill using a mixture of expert-based time series transformer model”, IBEC 2024, Oct 2024
Dongwook Kwon, Minji Kim, Youngshin Kang, Jihong Lee, Cheolsoo park, “Hybrid Neural Network Model for Anomaly Detection in Implantable Devices Using Graph Attention Networks and Transformers”, IBEC 2024, Oct 2024
Junghwan Lee, Yusang Nam, Hyuntae Lee, Cheolsoo Park, “Prediction of Remote Photoplethysmography Using Quaternion-based Convolutional Neural Networks in Metaverse”, IEEE MetaCom 2024, Aug 2024
Youngshin Kang, Geunbo Yang, Cheolsoo Park, “Event-based White Blood Cell Classification using Convolutional Spiking Neural Networks”, IEEE MetaCom 2024, Aug 2024
2023
이정환, 박철수, “쿼터니언 기반 컨볼루션 신경망을 이용한 얼굴 영상의 심박수 및 SpO2 예측”, 의용생체공학회 추계 학술대회, Oct 2023, Daegu
강영신, 권동욱, 박철수, “Peak 간격을 고려한 Graph convolution network 기반 혈압 추정 연구”, 의용생체공학회 추계 학술대회, Oct 2023, Daegu
권동욱, 강영신, 박철수, “의료 디바이스 보안 강화를 위한 GNN-GRU 이상 감지 모델”, 의용생체공학회 추계 학술대회, Oct 2023, Daegu
류한웅, 윤성민, 박철수, “Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction”, 의용생체공학회 추계학술대회, Oct 2023, Daegu
윤성민, 이지홍, 류한웅, 박철수, “강화학습을 활용한 혈압 예측 모델의 재보정 주기 결정”, 의용생체공학회 추계 학술대회, Oct 2023, Daegu
권동욱, 강영신, 양지석, 박철수, “딥러닝 기반 양방향 GRU를 이용한 산업용 사이버-물리 시스템에서의 실시간 이상치 탐지”, IEIE 인공지능 신호처리 학술대회, Oct 2023, Daegu
강영신, 이지운, 박철수, “확산 모델을 이용한 다변량 시계열 생체 신호 생성을 위한 복원 알고리즘”, May 2023, Daegu
남유상, 윤영훈, 박철수, “쿼터니언 컨벌루션 뉴럴 네트워크를 이용한 비디오로부터의 심박수 예측”, May 2023, Daegu
양근보, 박철수, “심층 스파이킹 신경망 에서의 이미지 분류를 위한 지도 학습 기반 무작위 추출 스파이크 인코딩 알고리즘”, May 2023, Daegu
이정환, 박철수, “Complex-valued neural networks를 통한 호흡 신호 예측”, May 2023, Daegu
이지홍, 박철수, “혈압추정모델의 성능향상을 위한 강화학습 모델”, May 2023, Deagu
윤성민, 박철수, “Structural Reparameteraization을 활용한 효율적인 실시간 혈압 추정 모델”,
2022
이충섭, 양근보, 박윤태, 박철수, “Design of Spiking Neural Networks for Neuromorphic System”, SNU symposium, Aug 2022, Seul
이충섭, 양근보, 박종길, 박철수, “SVR을 이용한 ECG 기반 심박수 추정 Spiking Neural Network”, IEIE 2022, Jul 2022, Jeju
이정환, 윤영훈, 손량희, 박철수, “얼굴 영상 기반 심박수 추정을 위한 Quaternion Convolution Neural Networks”, IEIE 2022, Jul 2022, Jeju
백재우, 박철수, “심층 강화학습을 이용한 심전도 기반 자동 부정맥 분류 및 최적의 특징 탐색”, IEIE 2022, Jul 2022, Jeju
강영신, 박철수, “Knowledge Distillation을 이용한 EEG 기반 개인인증”, IEIE 2022, Jul 2022, Jeju
한승우, 백재우, 박철수, “그래프 신경망을 이용한 부정맥 분류 알고리즘”, IEIE 2022, Jul 2022, Jeju
원지환, 박철수, “연합 학습 모델에서 비정상 클라이언트 클러스터링”, IEIE 2022, Jul 2022, Jeju
Junghwan Lee, Cheolsoo Park, “Remote SpO2 Estimation using End-to-End CNN model”, ICCE-Asia, Oct 2022
Jiwoon Lee, Cheolsoo Park, “Restoration of Time-Seires Medical Data with Diffusion Model”, ICCE-Asia, Oct 2022
권동욱, 강영신, 박철수, “부정맥 진단을 위한 재구성 기반 다변량 ECG 시계열 데이터 분석”, 의용생체공학회 추계학술대회, Oct 2022, Incheon
박윤태, 양근보, 이충섭, 백재우, 박철수, “압축 감지된 심전도를 이용한 스파이킹 신경망 기반 심박 수 예측”, 의용생체공학회 추계학술대회, Oct 2022, Incheon
이지운, 박철수, “잡음 제거 확산 모델 기반의 시계열 심전도 데이터 보간에 관한 연구”, 의용생체공학회 추계학술대회, Oct 2022, Incheon
2021
백수환, 백재우, 유현수, 박철수, “Single channel EEG의 Attention을 통한 수면 단계 추정 의사결정지원시스템”, IEIE 2021, June 2021, Jeju
백재우, 이석민, 이영준, 이호찬, 박철수, “EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기”,IEIE 2021, June 2021, Jeju
2019~2020
S. Baek, S. Han, J. Lee, W. Lee, C. Park, “Arrhythmia Classification Using 1D-2D Conversion”, u-Healthcare 2019, Dec 2019, Kookmin University
Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Suwhan Baek, Sayup Kim, Jongryun Roh, Choelsoo Park, “Three Classification Classes of Gait Type Using Step Segmentation”, u-Healthcare 2019, Dec 2019, Kookmin University
Heesang Eom, Dongseok Lee, Seungwoo Han, Kwangsuk Park and Cheolsoo Park, “Blood Pressure Estimation Using Deep Learning based on Attention Mechanism”, u-Healthcare 2019, Dec 2019, Kookmin Universit
Juhyeong Kim, Taehum Cho, Woojun Seok, Cheolsoo Park, “Reinforcement Learning Personal Authentication System Using ECG Feature”, u-Healthcare 2019, Dec 2019, Kookmin University
엄희상, 한승우, 이동석, 박광석, 박철수, “Attention 메커니즘을 활용한 CNN-BiGRU 기반 수축기 혈압 추정”, KOSOMBE, Nov 7-9 2019, Inchon
Seungwoo Han, Heesang Eom, Cheolsoo Park, “End-to-End 딥러닝 기반 부정맥 분류 연구”, KOSOMBE, Nov 7-9 2019, Inchon
WG.Lee , WJ.Seok, C.Park, “Unsupervised MNIST data classification using spiking neural network “, KOSOMBE, Nov 7-9 2019, Inchon
Joohyung Kim, Taeheum Cho , Woojun Seok, and Choelsoo Park, “심전도 특징을 이용한 강화학습 개인 인증 시스템”, KOSOMBE, Nov 7-9 2019, Inchon
Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho , Yu Hyun Soo, Sayup Kim , Jongryun Roh and Choelsoo Park, “Gait Type Classification Using Support Vector Classification”, KOSOMBE, Nov 7-9 2019, Inchon
백수환, 노종련, 김사엽, 박철수, “머신러닝을 이용한 이상보행 검출”, 신호처리합동학술대회, 대전, 2019.09
H. Eom, S. Han, D. Lee, K. Park and C. Park, “Blood Pressure Estimation Based on Convolutional Neural Network using ECG, PPG and BCG”, International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019 07
H. Eom, S. Han, K. Park and C. Park, “Data-Driven End-to-End Deep Learning Architecture for Long-Term Blood Pressure Estimation”, International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019 07
조태흠, 석우준, 박철수, “동작상상 태스크 수행 분류를 위한 강화학습기반 최적의 주성분 추출”, 대한의용생체공학회 춘계학술대회, 여수, 2019.05
엄희상, 한승우, 박광석, 이동석, 박철수, “심전도, 맥파 및 심탄도를 이용한 딥러닝 기반 혈압 추정”, 대한의용생체공학회 춘계학술대회, 여수, 2019.05
한승우, 엄희상, 조태흠, 박광석, 박철수, “심전도와 맥파를 이용한 강화학습 기반 혈압 추정 알고리즘”, 대한의용생체공학회 춘계학술대회, 여수, 2019.05
Yuli Sun Hariyani, 엄희상, 박철수, “YU-NET: An Improved Deep Learning method for Nailfold Capillary Segmentation”, 대한의용생체공학회 춘계학술대회, 여수, 2019.05
U Sunarya, Y Hariyani, D Sim, C. Park, “A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative”, 한국통신학회, Jan. 23-25th 2019, 평창
한승우, 엄희상, 박광석, 이동석, 박철수, “심전도와 맥파를 이용한 딥러닝 기반 실시간 혈압 추정 연구”, 한국통신학회 동계종합학술발표회, 평창, 2019.01
2017~2018
Byeon-Ghwi Kim, Yuli Sun Hariyani, Cheolsoo Park, “Automated Capillary Image Segmentation using Deep Learning”, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018.
H. Lee, C.Park, “Deep CNN-RNN for Motor Imagery Classification”, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018
W. Seok, C.Park, “Drowsiness Monitoring using Deep Reinforcement learning”, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018
T. Cho, C. Park, “Classification of Motor Imagery Tasks Through Optimal Principal Components Selected Using Reinforcement Learning”, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018
H. Lee, and C. Park* “Recurrent Neural Network with EEG Spectrogram for Motor Imaginary Classification”, SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018
Yuli Sun Hariyani, C. Park*, “Nailfold Capillary Segmentation using Deep Learning”, SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018
W. Seok, M. Yeo, C. Park*, “Multimodal Drowsiness Detection Method Using Deep Reinforcement Learning”, SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018
H Lee, C Park, “딥러닝 뇌파 분석을 통한 멀티미디어 강의 시청 집중도 분류”, 대한의용생체공학회 춘계학술대회, 충주, 2018.05.
M Yeo, Y Koo, C Park, “손목 가속도 센서와 머신러닝 알고리즘을 이용한 자동 수면 패턴 분류”, 2018 대한의용생체공학회 춘계학술대회, 충주, 2018.05.
W. Seok, C.Park,”Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning”, ICOIN, Chiang Mai, Thailand, Jan. 10-12, 2018
H. Lee, Y. Kim, C. Park,”Classification of Human Attention to Multimedia Lecture”, ICOIN(International Conference on Information Networking), Chiang Mai, Thailand, Jan. 10-12, 2018
M. Yeo, Y. Koo, Y. Yoon, T. Hwang, J. Ryu, J. Song, C. Park, “Flow-based Malware Detection Using Convolutional Neural Network”, The 32nd International ICOIN (Conference on Information Networking), Thailand, Chiang Mai, Jan. 10-12, 2018
B Hwang, J Ryu, C Park, B Zhang, “A novel method to monitor human stress states using ultra-short-term ECG spectral feature”, Engineering in Medicine and Biology Society (EMBC), IEEE 2017
H. Lee, B.S Hwang, Y. Kim, C. Park, “Correlation Between Empathy and Experience in Human Emotion from EEG Signal”, U-healthcare, Seoul, Korea, 2017
이희준, 김종훈, 정민우, 이 진, 임영범, 박철수, “멀티미디어 강의 중 집중력이 뇌파에 미치는 영향”, KOSOMBE(Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017
여민수, 구용서, 박철수, “Convolutional Neural Network을 이용한 IOT기기의 주관적 수면데이터의 패턴 분석”, KOSOMBE(Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017
석우준, 박철수, “강화학습 알고리즘을 통한 팔 동작 패턴 인식”, KOSOMBE(Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017
M. Yeo and Choelsoo Park, “Automated Sleep Scoring Using Accelerometer Data from a Wrist Band”, KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017
Jiwoo Ryu and Choelsoo Park, “An Accurate Real-time ECG/PPG Peak Detection Using Viterbi Algorithm”, KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017
Y. Kim and C. Park, “Feature Extraction Using Correlation Preserving Transform Based on Complex Common Spatial Patterns”, KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017
2015~2016
김영주, 박철수, “낮잠 중 청각 자극을 통한 운동 기억력 고착화에 관한 연구” 2016융합스마트클라우드컴퓨팅학술대회, Seoul, Korea, 2016
H. Lee, M. S. Yeo, Y. Kim, C. Park, et al., “Effects of visual and auditory delta band stimuli on sleep” IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016
M. Yeo, J. Ryu, Y. Koo, C. Park, et al., “Automated Sleep Scoring Using Accelerometer Data from a Wrist Band” IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016
Y. Kim, J. Ryu, C. Park, et al., “Stress Measurement Using the Accelerometer” IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016
J. Ryu, Y. Kim, C. Park, et al., “ECG-based Drowsiness level detection using Hidden Markov Model,” IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016
J. Ryu, C. Park, “A Comparison of Machine Learning Algorithms for EEG-based Emotion Recognition,” u-Healthcare, Osaka, Japan, 2015
Y. Kim, C. Park, “Motor Imagery EEG Classification Using Correlation Preserving Complex Common Spatial Patterns Algorithm,” u-Healthcare, Osaka, Japan, 2015
김영주, 박철수, “기계학습을 이용한 운동 심상 뇌전도의 분류”, 추계전자공학회, 2015
류지우, 박철수, “기계학습 알고리즘을 이용한 뇌전도기반 감정 분류”, 추계전자공학회, 2015
2012~2014
C Park, “A tutorial on empirical mode decomposition in brain research”, Consumer Electronics, ISCE 2014
C. Park, V. Vijayan, S. Kim, J. Onton and T. Coleman, “Epidermal Electronic System for Unobtrusive Sleep Monitoring”, IBEC 2014, Gwangju, Korea, 2014
Y. Kim, J. Ryu and C. Park, “Classification of Motor Imagery EEG using Strong Uncorrelated Transform Complex Common Spatial Patterns”, IBEC 2014, Gwangju, Korea, 2014
J. Ryu, Y. Kim and C. Park, “Classification of Term and Preterm Labor Using Multivariate Empirical Mode Decomposition of EHG Signal”, IBEC 2014, Gwangju, Korea, 2014
V. Vijayan, C. Park, S. Kim, J. Onton, T. Coleman, “Probabilistic sleep staging algorithms for unobtrusive sleep monitoring with epidermal electronic system”, UCSD Research Expo 2014, San Diego, USA, 2014
C. Park, M. Plank, J. Snider, S. Kim, H. C. Huang, S. A. Hillyard, T. Coleman and H. Poizner, “Analysis of EEG responses during rapid pointing under risk and uncertainty”, SfN 2012, New Orleans, USA, 2012
L. Li, D. Looney, C. Park, T. Tanaka, J. Cao and D. P. Mandic, “Phase-based brain consciousness analysis”, The 34th Annual International Conference of the IEEE EMBS, San Diego, USA, 2012
2009~2011
Looney D1, Park C, Kidmose P, Rank ML, Ungstrup M, Rosenkranz K, Mandic DP., “An in-the-ear platform for recording electroencephalogram”, EMBC, 2011
C. Park, D. Looney and D. Mandic, “Estimating Human Response to Taste using EEG”, The 33th Annual International Conference of the IEEE EMBS, Boston, USA, 2011
L. Li, D. Looney, C. Park and D. Mandic, “Power Independent EMG based Gesture Recognition for Robotics”, The 33th Annual International Conference of the IEEE EMBS, Boston, USA, 2011
C. Park, J. M. Choi, K. S. Park, “Urine Analysis on Diluted Situation using Low-Resolution Raman Spectroscope”, The 27th Annual International Conference of the IEEE EMBS, Shanghai, China, 2005
P. Kidmose, M.L. Rank, M. Ungstrup, D. Looney, C. Park and D.P. Mandic, “A Yarbus-Style Experiment to Determine Auditory Attention”, The 32th Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, 2010
D. Looney, C. Park, Y. Xia, P. Kidmose, M. Ungstrup and D.P. Mandic, “Towards Estimating Selective Auditory Attention From EEG Using A Novel Time-Frequency-Synchronisation Framework”, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010
D. Looney, C. Park, P. Kidmose, M. Ungstrup and D.P. Mandic, “Measuring Phase Synchrony using Complex Extensions of EMD”, IEEE Statistical Signal Processing Symposium, Cardiff, Wales, UK, 2009
2004~2008
C. Park, C. S. Kim, J. Y. Kim, “Development of PD Pattern Recognition in Extra High Voltage Cable”, High Voltage and Discharge Application Technologies Research Association Spring Conference, Daejun, Korea, 2007
C Park, J Choi, K Park, “Urine analysis in diluted situation using low-resolution Raman spectroscope”, Engineering in Medicine and Biology Society, April 2006
C. Park, J. M. Choi, K. S. Park, “Urine Analysis in a Toilet Bowl Using Raman Spectroscopy”, The 6th Asia Pacific Conference on Medical and Biological Engineering, Tsukuba, Japan, 2005
J. M. Choi, J. S. Kim, J. W. Park, C. Park, H. S. Jeon, R. H. Sohn, M. S. Ryu, K. S. Park, “Unconstrained behavioral monitoring system at home”, The 6th Asia Pacific Conference on Medical and Biological Engineering, Tsukuba, Japan, 2005
S. H. Chung, C. Park, K. S. Park, “Application of independent component analysis (ICA) method to the Raman spectra processing”, Proceedings of SPIE 5702 Optical Diagnostics and Sensing V, p. 168-172, 2005
S Chung, C Park, K Park, “Analysis of the Raman spectra from human urine samples using the PLS and PCR methods”, Optical Society of America, 2004