A5071716299- Emotion and Mood Recognition
- Metal and Thin Film Mechanics
- Acoustic Wave Resonator Technologies
- GaN-based semiconductor devices and materials
- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
Georgia Institute of Technology
2022-2024
Sc0.18Al0.82N/GaN with state-of-the-art x-ray diffraction figures of merit grown by metal modulated epitaxy under metal-rich conditions and a low substrate temperature 400 °C is demonstrated to have improved crystalline order [250 arc sec for the (0002) reflection 469 (101¯5)] compared previous sample at more conventional 650 °C. While both samples show columnar structure, higher has good symmetric rocking curve (RC) 229 sec, but unlike lower sample, RC (101¯5) asymmetric could not be...
Non-invasive brain-computer interfaces (BCIs) provide us with the unique ability to classify psychological state of a person using only neurophysiological signals, such as those captured an electroencephalogram (EEG). With this ability, new avenues for innovation in field healthcare arise, especially it is used robotics. EEGNet novel deep learning technique classification EEG data limited training set that generalizes well variety BCI paradigms, and performance thereof can further be...