Brain-computer interaction modeling based on the stable diffusion model

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Reality-Based Brain-Computer Interaction

The idea of realistic HCI, as described with RealityBased Interaction, continuously adapting to the users experience of the interaction, is a grand vision. RealityBased Brain-Computer Interaction (RBBCI) is a conception of a system implementing this idea by combining Virtual Reality with functional brain imaging (fMRI) and appropriate methods of analysis and interpretation. The development of s...

Reality-based brain-computer interaction

Recent developments within human-computer interaction (HCI) and cognitive neuroscience have come together to motivate and enable a framework for HCI with a solid basis in brain function and human reality. Human cognition is increasingly considered to be critically related to the development of human capabilities in the everyday environment (reality). At the same time, increasingly powerful comp...

Model - Based Human - Computer Interaction

MediaBrain: Annotating Videos based on Brain-Computer Interaction

Adding notes to time segments on a video timeline makes it easier to search, find, and playback important segments of the video. Various approaches have been explored to annotate videos (semi) automatically to summarize videos. In this research we investigate the feasibility of implicitly annotating videos based on brain signals retrieved from a Brain-Computer Interface (BCI) headset. The signa...