Brain-computer interface platform for InnoBrain

The Client

Indeform and Swedish neurotechnology company InnoBrain came together in 2022 to create a cutting-edge brain-computer interface platform called InnoBrain. This revolutionary system utilizes artificial intelligence and neuroscience to monitor and assess the cognitive activity of vehicle operators during transportation control.

The Problem

According to statistics, more than 90% of accidents related to the operation of vehicles are attributable to negative changes in a person's cognitive state - fatigue, impaired attention, etc. To reduce the number of accidents, the market has started to use methods to analyze a person's state of mind, such as eye-tracking, heart-rate monitoring, and facial expression recognition. Although this has facilitated the need for monitoring drivers, none of the methods are able to capture and provide psychological indicators. It is psychological indicators that can provide detailed information on the key characteristics of the driver, such as cognitive load, distraction, relaxation, arousal, or motion sickness. To collect this data, an innovative technological solution based on neuroscience and artificial intelligence has been developed to ensure the safety of drivers, pilots, and other vehicle operators during work.

The Solution

Indeform's dedicated team of specialists, in collaboration with the neurotechnology company InnoBrain, has developed a real-time, cloud-based brain-computer interface platform. Indeform's specialists took care of the key areas of the platform's realization – the initiation, development, and deployment phases of the cloud computing Saas platform and the data analysis and visualization engine (DAVE).

The developed system aims to automate the process of monitoring and evaluating cognitive activity by collecting and analyzing brain signals. Advanced neuroscience knowledge and artificial intelligence analysis tools are utilized in this system. To record brain signals, non-invasive electroencephalography (EEG) devices are used, which are then transferred to data processing servers. These servers can eliminate external signals like heart rate, muscle movements, and involuntary eye movements, which can affect the accuracy of data analysis. The system uses feature engineering to extract and select the most comprehensive data. Artificial intelligence and machine learning techniques are used to analyze this data, ensuring its reliability and providing deeper insights into cognitive activity. Additionally, the system is equipped with algorithms that can predict changes in brain activity, which can be useful in enhancing the safety of individuals driving vehicles.Automated data transmission and analytics of human brain signals ensure a wide range of product applicability in the vehicle industry. The technological solution does not require knowledge of neurobiology to understand and interpret the cognitive state of an operator. The Innobrain platform enables real-time monitoring of the human state, thus providing an efficiency and data speed advantage in the market.

The system enables:

• Determine the level of concentration of the person driving the vehicle and send warnings or suggestions when deviations are detected;
• Recognize levels of alertness and fatigue, and issue warnings to the driver, as well as activate automatic safety features;
• Monitor cognitive load to optimize the operator's tasks and workload;
• Assess stress and emotional state and enable interventions to improve the driver's well-being.

Challenges

• Data transmission efficiency and bandwidth conservation are crucial due to the high volume of data;
• Efficient processing - fast processing of EEG data for real-time display and valuable insights;
• Reliability and availability - error handling and fault tolerance are important to avoid interruptions during long monitoring sessions;
• Scalability - horizontal scaling to suit changing workloads.

Value Added

The Innobrain platform enables real-time monitoring of the human condition, providing an efficiency and data rate advantage over existing operator monitoring methods on the market. Algorithms are being developed to predict changes in brain activity, which, due to their predictive nature, have the potential to significantly improve the safety of the person driving the vehicle and other road users. In addition, the InnoBrain platform is customized to meet the requirements of industrial companies and is designed to help interpret data without requiring neurobiological knowledge.

Final Words

The implementation of technology and innovation is widely recognized as a significant factor in the development of businesses, particularly in light of the constantly changing business landscape. The developed platform ensures the growth of the vehicle industry by providing a new, innovative tool to help ensure the safety of vehicles' end-users in a more efficient and rapid way. InnoBrain can help predict likely risks and prevent potential accidents on the road. It is a tool that not only ensures technological progress for companies, but also contributes to a sustainable industry and brings global benefits.

Used Technologies

• Artificial intelligence
• Machine learning

Services

Dedicated teams