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10:16, 03 March 2026
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In Russia, Driving Simulator Trains Cognitive Functions

Researchers have developed a racing simulator that can be used to help restore brain functions in patients.

Photo: iStock

At Amur State Medical Academy, engineers have developed a motorsport simulator that combines virtual racing with elements of medical rehabilitation.

The project was carried out by the university’s scientific and technical club. The system has already been presented to the regional Innovation Support Center, an investment attraction agency, and the regional Ministry of Economic Development.

The simulator was built from scratch using the team’s own engineering solutions. It replicates the interior of a race car, with a monitor mounted behind the driver’s head and a recreated safety cage surrounding the cockpit. The setup enhances immersion and makes training sessions more realistic.

Telemetry, Vibration, and VR

What sets the system apart is a proprietary feedback mechanism. It receives telemetry data from the game and transmits it to actuators. As a result, users feel engine vibrations, road surface irregularities, jumps, wheel slip, and wheel lock.

“The feedback system we developed transmits telemetry data from the game to actuators that allow the driver to feel engine vibrations, road bumps, jumps, and wheel lock or slip. Combined with VR technologies, this takes the immersion effect to a new level,” said club head Vitaly Zatvornitsky.

Training Cognitive Functions

The academy plans to study how simulator sessions affect reaction speed, attention, memory, and other cognitive indicators. Developers see the system as a tool for post-injury rehabilitation as well as a platform for working with athletes.

“The main advantage of the simulator is its versatility. The range of potential applications is broad – from medical rehabilitation and social programs to sports pharmacology and elite athletics,” Zatvornitsky said.

The team is already working on a second prototype with a motion platform and integrating elements of artificial intelligence to analyze user behavior and adapt training scenarios.

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