Self-driving cars may already be in development and testing, but Nissan is instead looking more towards user-assisted driving with Brain-to-Vehicle technology. Nissan's newest piece of technology will be fully integrated into future vehicles and works by measuring and analyzing the brainwaves of drivers to better enhance the driving experience. The Brain-to-Vehicle system, also known as B2V, utilizes a skull cap that measures brain activity in drivers and transmits its data to steering, braking and acceleration in the vehicle. The transmitted data will then allow the vehicle to activate these systems in a fraction of a second before the driver can.
Nissan plans to unveil this technology at CES 2018 using its newest concept car—the IMx electric. The exhibition will have users operate the vehicle in a highway simulation while the car makes adjustments in real-time. Nissan's user-assisted driving is intended to keep human beings as the primary operator of the vehicle, but uses technology as an aid and experience enhancer. Nissan has already invested $4.4 billion on this technology, greatly surpassing its competitors looking into the same tech.
Brain-Reading Car Systems
Nissan is Enhancing the Driving Experience with Brain-to-Vehicle Tech
Trend Themes
1. User-assisted Driving - Opportunity for enhancing the driving experience by using brain-to-vehicle technology to measure and analyze the brainwaves of drivers.
2. Brain-computer Interface - Disruptive innovation opportunity to integrate skull cap technology that measures brain activity in vehicles to improve steering, braking, and acceleration.
3. Real-time Adjustments - Potential for creating a more responsive driving experience by utilizing brainwave data to activate vehicle systems before the driver can.
Industry Implications
1. Automotive - Application of brain-to-vehicle technology in the automotive industry to enhance user-assisted driving experiences.
2. Consumer Electronics - Opportunity for consumer electronics companies to develop and integrate brain-computer interface technologies in vehicles.
3. Healthcare - Potential expansion of brainwave monitoring technology from healthcare applications to the automotive industry for enhanced user experiences.