no code implementations • 6 Mar 2024 • Young-Min Go, Seong-Hyun Yu, Hyeong-Yeong Park, Minji Lee, Ji-Hoon Jeong
We believe that effective execution of motor imagery can be achieved not only for fine MI, but also for local muscle MI
1 code implementation • 20 Aug 2023 • Sumin Han, Youngjun Park, Minji Lee, Jisun An, Dongman Lee
Traffic prediction is one of the key elements to ensure the safety and convenience of citizens.
no code implementations • 3 Aug 2023 • Yun Kwan Kim, Minji Lee, Kunwook Jo, Hee Seok Song, Seong-Whan Lee
To check the generalization ability of the proposed method, an AFDB-trained model was tested on the MITDB, and superior performance was attained compared with that of a state-of-the-art model.
no code implementations • 26 Feb 2022 • Minji Lee
Multi-image super-resolution, which aims to fuse and restore a high-resolution image from multiple images at the same location, is crucial for utilizing satellite images.
no code implementations • 10 Dec 2020 • Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Minji Lee
We pre-trained the U-Net to classify the 5-class sleep stages using night-sleep EEG and used the sleep stages estimated by the U-Net to detect micro-sleep during driving.
no code implementations • 7 Dec 2020 • Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
So far, many studies have analyzed electroencephalogram (EEG) signals at encoding to predict later remembered items, but few studies have predicted long-term memory only with EEG signals of successful short-term memory.
no code implementations • 28 Aug 2020 • Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee
Our findings showed that EEG signals are possible to differentiate when subjects are presented with visual stimulus of different semantic categories and at an exemplar-level with a high classification accuracy; this demonstrates its viability to be applied it in a real-world BMI.
no code implementations • 28 Aug 2020 • Dong-Yeon Lee, Minji Lee, Seong-Whan Lee
The proposed framework would help to increase the classification performance of imagined speech for a small amount of data and implement an intuitive communication system.
no code implementations • 18 May 2020 • Young-Eun Lee, Minji Lee, Seong-Whan Lee
As a result, the reconstructed signals had important components such as N200 and P300 similar to ERP during standing.
no code implementations • 15 May 2020 • Gi-Hwan Shin, Minji Lee, Seong-Whan Lee
Seven participants performed two memory tasks (word-pairs and visuo-spatial) before and after the nap to assess the memory consolidation during unconsciousness.
no code implementations • 4 May 2020 • Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee
These results showed that it is possible to predict performance of a memory task using ear-EEG signals and it could be used for predicting memory retrieval in a practical brain-computer interface.
no code implementations • 4 May 2020 • Hyeong-Jin Kim, Minji Lee, Seong-Whan Lee
For five sleep stage classification, the classification performance 85. 6% and 91. 1% using the raw input data and the proposed input, respectively.
no code implementations • 11 Feb 2020 • Jae-Geun Yoon, Minji Lee
Motor imagery based brain-computer interfaces (MI-BCIs) allow the control of devices and communication by imagining different muscle movements.
no code implementations • 4 Feb 2020 • Jenifer Kalafatovich, Minji Lee
For decoding phase, only significant decreases of alpha power were observed over fronto-central area.