| Detection of eye blink artifacts from single prefrontal channel electroencephalogram WD Chang, HS Cha, K Kim, CH Im Computer methods and programs in biomedicine 124, 19-30, 2016 | 92 | 2016 |
| Development of an online home appliance control system using augmented reality and an SSVEP-based brain–computer interface S Park, HS Cha, CH Im IEEE Access 7, 163604-163614, 2019 | 89 | 2019 |
| Development of an electrooculogram-based eye-computer interface for communication of individuals with amyotrophic lateral sclerosis WD Chang, HS Cha, DY Kim, SH Kim, CH Im Journal of neuroengineering and rehabilitation 14, 1-13, 2017 | 42 | 2017 |
| Real-time recognition of facial expressions using facial electromyograms recorded around the eyes for social virtual reality applications HS Cha, SJ Choi, CH Im IEEE Access 8, 62065-62075, 2020 | 37 | 2020 |
| An emergency call system for patients in locked‐in state using an SSVEP‐based brain switch JH Lim, YW Kim, JH Lee, KO An, HJ Hwang, HS Cha, CH Han, CH Im Psychophysiology 54 (11), 1632-1643, 2017 | 35 | 2017 |
| Clinical feasibility of brain‐computer interface based on steady‐state visual evoked potential in patients with locked‐in syndrome: Case studies HJ Hwang, CH Han, JH Lim, YW Kim, SI Choi, KO An, JH Lee, HS Cha, ... Psychophysiology 54 (3), 444-451, 2017 | 35 | 2017 |
| Performance enhancement of facial electromyogram-based facial-expression recognition for social virtual reality applications using linear discriminant analysis adaptation HS Cha, CH Im Virtual Reality 26 (1), 385-398, 2022 | 33 | 2022 |
| Removing the interdependency between horizontal and vertical eye-movement components in electrooculograms WD Chang, HS Cha, CH Im Sensors 16 (2), 227, 2016 | 23 | 2016 |
| EEG-based neurocinematics: challenges and prospects HS Cha, WD Chang, YS Shin, DP Jang, CH Im Brain-Computer Interfaces 2 (4), 186-192, 2015 | 10 | 2015 |
| Automatic identification of interictal epileptiform discharges in secondary generalized epilepsy WD Chang, HS Cha, C Lee, HC Kang, CH Im Computational and Mathematical Methods in Medicine 2016, 2016 | 9 | 2016 |
| Improvement of robustness against electrode shift for facial electromyogram-based facial expression recognition using domain adaptation in VR-based metaverse applications HS Cha, CH Im Virtual Reality 27 (3), 1685-1696, 2023 | 6 | 2023 |
| Deep-learning-based real-time silent speech recognition using facial electromyogram recorded around eyes for hands-free interfacing in a virtual reality environment HS Cha, WD Chang, CH Im Virtual Reality 26 (3), 1047-1057, 2022 | 5 | 2022 |
| Development of an online home appliance control system for the elderly based on ssvep-based brain-computer interface: A feasibility study S Park, J Ha, HS Cha, KG Lee, CH Im 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2021 | 5 | 2021 |
| Prediction of individual user’s dynamic ranges of eeg features from resting-state eeg data for evaluating their suitability for passive brain–computer interface applications HS Cha, CH Han, CH Im Sensors 20 (4), 988, 2020 | 5 | 2020 |
| Facial Motion Capture System Based on Facial Electromyogram and Electrooculogram for Immersive Social Virtual Reality Applications C Kim, HS Cha, J Kim, HK Kwak, WJ Lee, CH Im Sensors 23 (7), 3580, 2023 | 3 | 2023 |
| New method for pure-tone audiometry using electrooculogram: A proof-of-concept study DY Kim, J Kwon, JY Kim, HS Cha, YW Kim, IY Kim, CH Im Sensors 18 (11), 3651, 2018 | 2 | 2018 |
| AR‐Enabled Persistent Human–Machine Interfaces via a Scalable Soft Electrode Array H Kim, HS Cha, M Kim, YJ Lee, H Yi, SH Lee, S Ira, H Kim, CH Im, ... Advanced Science 11 (7), 2305871, 2024 | | 2024 |
| Development of Face-Machine Interfaces Using Facial Electromyogram for Interactive Virtual Reality Applications HS Cha | | 2020 |
| Development of a facial motion capture system based on facial electromyogram recorded around the eyes for social virtual reality applications CH Im, C Kim, HS Cha 대한전자공학회 학술대회, 2402-2404, 2020 | | 2020 |
| Development of a transient visual evoked potential (tVEP)-based brain switch system HS Cha | | 2015 |
Chang-Hwan ImDepartment of Biomedical Engineering, Hanyang University, Seoul, KoreaVerified email at hanyang.ac.kr
