Unveiling Neural Patterns: A Breakthrough in Predicting Esports Match Outcomes
In a groundbreaking discovery NTT companya leading global technology company providing services to consumers and businesses as a mobile operator, infrastructure, networks, applications and consulting provider, has identified neural oscillation patterns that are closely linked to the outcomes of esports competitions, achieving a prediction accuracy of approximately 80%. This innovative research marks a significant advance in understanding the role of the brain in competitive performance and opens new avenues for individualized mental conditioning.
Key findings:
- Patterns in pre-match EEG linked to results: Specific neural oscillations were found to be strongly associated with competition outcomes.
- High accuracy in predicting match results: Including the prediction of disruptions, the study achieved an accuracy rate of 80%.
- Potential for personalized mental conditioning: Insights from neural oscillation patterns can be used to optimize brain states for better performance.
Figure: Pre-round EEG correlates with competition results in fighting video games.
The research trip
NTT’s Communication Science Labs have long focused on how the brain regulates the body and mind to enhance individual capabilities. Athletes in particular strive to achieve an optimal mental state under the pressure of competition, a practice known as mental conditioning. Despite advances in sports analytics, accurately predicting the outcomes of ‘same level matches’ or ‘upsets’ has remained elusive.
Breakthrough in esports
By focusing on an esports fighting video game, researchers were able to observe and analyze players’ brain states during matches electroencephalography (EEG). This method made it possible to identify brain activity patterns before the match that were strongly associated with winning or losing. Esports, a rapidly growing field, offers a unique opportunity to study these brain patterns due to its emphasis on mental over physical skills.
Discovery of brain activity patterns
The study measured the neural oscillations of experienced esports players during real competition conditions. The results indicated that left frontal gamma oscillations, associated with strategic decision-making, and left frontal alpha oscillations, associated with emotional control, were significantly increased when winning matches. These findings highlight the crucial role of the brain in determining competitive outcomes and suggest that certain neural states can predict success.
Predict match results with high accuracy
Machine learning models trained on pre-match EEG data were constructed to predict match outcomes. These models achieved an accuracy rate of 80%, outperforming traditional models based on previous competition data. The high predictive accuracy was consistent for both matches and disruptions of the same level. This breakthrough demonstrates the potential of EEG-based predictions in areas where traditional data analysis falls short.
Implications for mental conditioning and performance enhancement
This research not only reveals the existence of an ideal brain state in competitive situations, but also suggests that mental conditioning based on bioinformation can improve performance in various fields such as sports, healthcare and education. By understanding and optimizing the brain states associated with peak performance, individuals can improve their outcomes in high-pressure environments.
Applications that go beyond esports
The implications of this research extend far beyond esports. The capacity to predicting performance based on brain activity can be applied to traditional sports, where mental conditioning plays a crucial role. In healthcare, understanding brain patterns associated with optimal performance can help treat mental illness. In education, insights from this research can help develop techniques to improve learning and cognitive performance.
Future research directions
NTT Corporation plans to continue exploring the applications of neural oscillation patterns in various fields. Future research will focus on refining the prediction models and expanding their use to other competitive environments. Furthermore, the potential for skills transfer through digital twin computing represents an exciting avenue for further research.
The Digital Twin concept
The digital twin concept involves creating a virtual representation of an individual’s brain state, which can be used to transfer skills and knowledge. By digitizing the brain states of experts, this technology can facilitate the transfer of skills and training in different areas. This approach has the potential to revolutionize the way we learn and acquire new skills, making advanced training more accessible and efficient.
Improving well-being through bio-information
NTT Corporation aims to improve well-being through the use of bioinformation-based mental conditioning techniques. By providing feedback on optimal brain states, individuals can learn to cope with stress and improve their performance in various aspects of life. This approach aligns with the broader goal of improving mental health and cognitive functioning through innovative technological solutions.
Conclusion
The pioneering work of NTT Corporation in identifying neural patterns associated with esports competition outcomes represents a significant leap forward in both neuroscience and competitive gaming. By harnessing these insights, there is potential to revolutionize mental conditioning and performance optimization across multiple domains. As research continues, the applications of this technology will expand and provide new opportunities to enhance human capabilities and well-being.
The discovery of neural oscillation patterns associated with competitive performance opens new possibilities for understanding and improving the role of the brain in different activities. With continued research and development, these findings could lead to significant advances in mental conditioning, skill transfer, and overall performance improvement in a wide range of areas.
