To create a media management platform that adapts content in real-time based on users’ brain activity. The system uses EEG signals to understand engagement, emotion, and attention, enabling highly personalized media consumption experiences.
Study brain-computer interface (BCI) technologies and EEG devices.
Develop algorithms to interpret engagement and emotion from EEG signals.
Integrate BCI with media playback systems to adjust content dynamically.
Build real-time dashboards to monitor attention and emotional responses.
Test with users to evaluate system adaptability and comfort.
Optimize signal processing for accuracy and low latency.
Suggest personalized media strategies based on brain responses.
Document methodology, BCI integration, and system performance.
Explore ethical considerations for neuro-responsive media applications.
