Russian Scientists Develop a Neural Interface to Control a Robotic Arm
A hardware–software system recognizes brain signals and transmits them to control a device.
Researchers at the Novosibirsk State Technical University have developed an interface for controlling neuromorphic devices. The project focuses on software for smart prosthetics capable of responding directly to brain signals, the university’s press service said.
The scientists concentrated on building a system that adapts to the physiology of each individual user.
According to Aleksei Kozin, a senior lecturer at the Department of Data Acquisition and Processing Systems at NSTU NETI, the team selects for each user the optimal set of frequencies at which the brain produces the most stable signals. This approach increases both the speed and accuracy of device control.
Toward Photostimuli
The researchers also developed a photostimulator and dedicated software that allows flexible adjustment of photostimulus frequency, brightness, and color. To demonstrate the technology, the team assembled a prototype robotic arm capable of recognizing commands from a brain–computer interface — moving in different directions and opening or closing its gripper. The arm operates directly via the neural interface, receiving signals wirelessly and transmitting them to the appropriate controller.
The hardware–software system integrates all stages of control, from recording signals from the headset to sending commands to the device. The development could help people with disabilities and enable the creation of next-generation prosthetics, assistive devices, and smart home environments. Similar technologies could also find applications in the gaming industry.
