Redefining Human-Machine Interaction with Thought-Controlled Devices
Researchers at the University of Technology Sydney (UTS) have revolutionized human-machine interaction by developing innovative biosensor technology. This technology enables individuals to effortlessly operate devices, including robots and machines, purely through the power of thought.
Revolutionizing Various Industries
In addition to its potential in defense applications, this advanced brain-computer interface holds immense promise in advanced manufacturing, aerospace, and healthcare sectors. For instance, it can empower individuals with disabilities to control wheelchairs and operate prosthetics.
“This hands-free, voice-free technology functions effortlessly in any environment, eliminating the need for devices like consoles, keyboards, touchscreens, and hand-gesture recognition,” explained Professor Francesca Iacopi from UTS Faculty of Engineering and IT.
A Breakthrough in Sensory Technology
Utilizing cutting-edge graphene material combined with silicon, the researchers overcame challenges related to corrosion, durability, and skin contact resistance, resulting in groundbreaking wearable dry sensors.
A recently published study in the reputable journal ACS Applied Nano Materials showcases the exceptional conductivity, user-friendliness, and robustness of these graphene sensors.
The Interface and its Functionality
The hexagon patterned sensors are strategically positioned on the back of the scalp to capture brainwaves from the visual cortex. Designed to withstand extreme operating conditions, these sensors can be used in diverse environments.
Users wear a head-mounted augmented reality lens, which presents flickering squares. By focusing on a specific square, the biosensor detects the brainwaves of the operator. A decoder then translates these signals into commands.
Achieving Remarkable Precision
The Australian Army recently demonstrated the capabilities of this technology by allowing soldiers to operate a Ghost Robotics quadruped robot through the brain-machine interface. Impressively, the device achieved up to 94% accuracy in hands-free robotic control.
“Our technology enables users to issue at least nine different commands within a mere two seconds. This showcases the remarkable potential of our system,” highlighted Professor Chin-Teng Lin.
The team also successfully minimized interference from the user’s body and environment, ensuring clearer brain signals for optimal performance.
Impact and Future Endeavors
The researchers anticipate that the scientific community, industry, and government will take keen interest in this technology. They are committed to advancing brain-computer interfaces and making significant contributions in this field.