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, over 90% of vehicle accidents occur due to negative changes in the driver's cognitive state, such as fatigue or distraction. To address this issue, various methods have been introduced to analyze the driver's state, including eye-tracking, heart rate measurement, and facial expression recognition. However, these methods are limited in their ability to capture psychological indicators that can provide valuable insights into the driver's cognitive load, level of distraction, relaxation, agitation, or even motion sickness. To address this gap, a cutting-edge technological solution that incorporates neuroscience and artificial intelligence has been developed to ensure the safety of drivers, pilots, and other vehicle operators during their work. This innovative solution can collect and analyze crucial data to help prevent accidents and promote safer driving practices.

The Solution

Indeform collaborated with InnoBrain to create a cutting-edge brain-computer interface platform that operates in real-time and is cloud-based. Our dedicated team of experts played a critical role in overseeing the key aspects of the platform's development, including the initiation, development, and delivery phases of the cloud computing SaaS platform, as well as 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 offers real-time monitoring of the human condition, presenting a significant boost in efficiency and data rate advantages over existing operator monitoring methods available on the market. The system includes the development of algorithms that can predict changes in brain activities, which, due to their predictive nature, have the potential to significantly enhance 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. In this regard, a novel and innovative tool has been developed that promises to enhance the vehicle industry and ensure the safety of end-users more efficiently and expediently. The platform is capable of predicting potential risks and averting potential accidents on the road, thereby promoting the overall safety of road users. Importantly, InnoBrain not only facilitates technological advancement for companies but also contributes significantly to a sustainable industry, resulting in global benefits.

Used Technologies

• Artificial intelligence
• Machine learning

Services

Dedicated teams