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 the research to consumer applications, there is still no proper gateway to open up the benefits of BCI to the daily applications of industries. InnoBrain strengthens and equips the 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.
That is made possible with a platform that is based on the foundation of neuroscience and the analyzing power of novel artificial intelligence algorithms, to automate brain wave analyses.