Sungwan Kim
서울대학교 생체의공학과 · 의학
Sungwan Kim 교수의 연구실은 뇌-기계 인터페이스, 재활로봇, 그리고 스마트 교육 기술을 융합한 첨단 의료 및 교육 기술 연구를 주요 방향으로 삼고 있습니다. 특히 비침습적 뇌전도측정(EEG)을 활용한 운동의상 제어, 목표 지향적 운동 상상 훈련, 그리고 MOOC 기반 교육 플랫폼의 pedagogical 활용에 대한 연구를 진행하고 있습니다. 또한, 가상현실 기반 재활 시스템과 교육용 앱 평가 도구 개발을 통해 실생활 응용 가능성을 높이고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
MOOCs have been the major issue in higher education worldwide since 2008. Frankly speaking, there are clear pros and cons of moving into MOOC-based education. This chapter deals with the pedagogical utilization and limitations of MOOCs in higher education. Through literature review and websites surfing related to MOOCs, expansion of MOOCs, instructional strategies in MOOCs, functions of platform for MOOCs, development of a MOOC, and future of MOOCs are summarized, analyzed, and discussed at the
Motor imagery (MI) for target-oriented movements, which is a basis for functional activities of daily living, can be more appropriate than non-target-oriented MI as tasks to promote motor recovery or brain-computer interface (BCI) applications. This study aimed to explore different characteristics of brain activation among target-oriented kinesthetic imagery (KI) and visual imagery (VI) in the first-person (VI-1) and third-person (VI-3) perspectives. Eighteen healthy volunteers were evaluated fo
A robot arm driven by 3D trajectories predicted from non-invasive neural signals was implemented, and reaching and grasping motions were performed. In most cases, the robot closely approached the target, but the success rate was not very high because the non-invasive neural signal is less accurate. However the success rate could be sufficiently improved for practical applications by using additional sensors. Robot arm control based on hand trajectories predicted from EEG would allow for portabil
The purpose of this study is to develop and validate an evaluation tool of educational apps for smart education. Based on literature reviews, a potential model for evaluating educational apps was suggested. An evaluation tool consisting of 57 survey items was delivered to 156 students in middle and high schools. An exploratory factor analysis was then used to ascertain the importance of the criteria. Four exploratory constructs and eight subfactors were extracted from the data collected: Factor
In practical rehabilitation robot development, it is imperative to pre-specify the critical workspace to prevent redundant structure. This study aimed to characterize the upper extremity motion during essential activities in daily living. An IMU-based wearable motion capture system was used to access arm movements. Ten healthy subjects performed the Action Research Arm Test (ARAT) and six pre-selected essential daily activities. The Euler angles of the major joints, and acceleration from wrist a
The experimental results verify that the proposed 3D endoscope system enables continuous surgical flow. The workspace is suitable for the performance of numerous types of surgeries. Therefore, the proposed system is expected to provide much higher safety and efficacy for current surgical robot systems.
The diffusion model-based MRI SR enhances the resolution of brain MR images, significantly improving diagnostic and prognostic accuracy for AD and MCI. Superresolved 3T* images closely matched actual 3T MRIs in quality and volumetric accuracy, and notably improved the prediction performance of conversion from MCI to AD.
Various experiments were conducted and it is verified that the proposed assistant surgical robot system enables collision-free and simultaneous operation of the dVRK's robot arm and the proposed assistant robot arm. The workspace is appropriate for the performance of various kinds of surgeries. Therefore, the proposed system is expected to provide higher safety and effectiveness for the current surgical robot system.
