1 code implementation • 16 Jan 2023 • Jeongkyun Park, Jung-Wook Hwang, Kwanghee Choi, Seung-Hyun Lee, Jun Hwan Ahn, Rae-Hong Park, Hyung-Min Park
Inspired by humans comprehending speech in a multi-modal manner, various audio-visual datasets have been constructed.
no code implementations • 22 Feb 2022 • Sunhee Hwang, Minsong Ki, Seung-Hyun Lee, Sanghoon Park, Byoung-Ki Jeon
Deep learning based fall detection is one of the crucial tasks for intelligent video surveillance systems, which aims to detect unintentional falls of humans and alarm dangerous situations.
2 code implementations • ICML 2020 • Kimin Lee, Younggyo Seo, Seung-Hyun Lee, Honglak Lee, Jinwoo Shin
Model-based reinforcement learning (RL) enjoys several benefits, such as data-efficiency and planning, by learning a model of the environment's dynamics.
Model-based Reinforcement Learning reinforcement-learning +1
no code implementations • 19 Aug 2013 • Berdakh Abibullaev, Jinung An, Seung-Hyun Lee, Jeon-Il Moon
This paper presents a study in task-oriented approach to stroke rehabilitation by controlling a haptic device via near-infrared spectroscopy-based brain-computer interface (BCI).
no code implementations • 25 Sep 2012 • Berdakh Abibullaev, Jinung An, Seung-Hyun Lee, Sang-Hyeon Jin, Jeon-Il Moon
In this study, we present an algorithm in order to minimize the above-mentioned variabilities and to overcome the time-consuming and usually error-prone calibration time.