The following research objectives have been identified to realize the vision of the Ear-EEG center:
- Research ear-EEG based methods for acquisition of physiological responses and brain states in real-life. This entails: instrumentation technologies; integration with other ear-centered sensor modalities; and advanced signal processing and machine learning methods exploiting the specific characteristics of ear-centered sensing.
- Advance computational models linking individual anatomy and physiology to ear-EEG. Incorporate precise anatomical information into the computational models. Using principles from machine learning to individualize the computational models based only on ear-EEG recordings (without individual anatomical information).
- Research methods enabling technology to support and adapt to the capacity of humans. Examples include: continuously monitoring of hearing capabilities; decoding of cognitive performance and mental capacity; and monitoring of health conditions.