AI-based approach for automating brain wave analyses for industrial applications.
IVAs 100-lista 2022
Kungliga Tekniska högskolan
Mohammad Davari, Shayan Jalilpour, Ali Osia, Masih Davari, Parivash Pourabbasi, Anahita Oliaee. KTH Integrated Transport Research Lab, VTI (Swedish National Road and Transport Research Institute)
With the fast spread of Brain-Computer Interface (BCI) from research to consumer applications, there is still no proper gateway to open up the benefits of BCI to the daily applications of industries.
InnoBrain envisions industrializing the benefits of BCI technology in industrial settings enabling human cognitive monitoring at scale!
InnoBrain strengthens and equips industries with the benefits of the Brain-Computer Interface wherever there is a need to gain a richer understanding of people's cognitive and emotional performance, in order to build safer and more convenient products and processes.
The core of InnoBrain's product Cognitive Data Platform is crafted on the bedrock of neuroscience principles and incorporates cutting-edge AI-enabled BCI technology, effectively leveraging groundbreaking machine learning and deep learning models to extract representative features of human cognition.