Did you know it’s possible to control a robotic arm or a wheelchair with just your thoughts, through a device called a brain-computer interface (BCI)? But for many users, learning to operate these systems is slow, difficult and, in some cases, unattainable. WNCG's CNBI Lab has discovered a novel way to accelerate this.
Published May 29 in Device, a new study co-authored by WNCG professor Nanshu Lu introduces a wireless forehead e-tattoo that decodes brainwaves to measure mental strain and may help track the mental workload of workers like air traffic controllers, surgeons, truck drivers and more.
A multi-university team with heavy involvement from industry leaders is working to change that. The team, led by researchers from The University of Texas at Austin and 6G@UT's Dr. Sensen Li, plans to infuse artificial intelligence into the design process for RFICs to reduce the difficulty of making these important chips.
