Cognixion and Pupil Labs Partner to Integrate Eye-Tracking with Axon-R Neural Interface

Collaboration set to revolutionize assistive technology by combining advanced neural interfaces with precise eye-tracking capabilities.

Cognixion and Pupil Labs have teamed up to create a groundbreaking solution that integrates eye-tracking technology with brain-computer interface (BCI) capabilities. By combining Pupil Labs’ precise eye-tracking software with Cognixion’s Axon-R neural interface, this partnership enables simultaneous measurement of visual attention and neural signals through a single, unified platform. This innovation removes traditional barriers in combining these technologies, allowing researchers and clinicians to collect synchronized, high-quality data effortlessly.

The integrated system has wide-ranging applications, particularly in neuroscience research and assistive technology development. It provides researchers with advanced tools to study human cognition, attention, and brain activity in real-time. Additionally, the platform’s adaptability benefits patients with neurological conditions such as ALS, where eye movement control may be compromised. By accurately tracking both eye movements and brain signals, the solution enhances the precision of clinical assessments and opens new possibilities for creating more responsive assistive devices.

This partnership represents a significant advancement in the MedTech landscape by addressing the need for combined eye-tracking and neural data acquisition in one seamless system. It empowers researchers to accelerate studies and develop innovative applications that respond dynamically to both visual and neural inputs. With initial product releases planned within six months, Cognixion and Pupil Labs are set to transform research methodologies and improve patient care through more integrated, precise monitoring technologies.


 
MedTech Spectrum's Summary
 
The partnership between Cognixion and Pupil Labs delivers an integrated solution that combines eye-tracking and brain-computer interface technologies, enabling synchronized and high-quality data collection for advanced neuroscience and assistive technology research.
 
This innovation enhances clinical assessments and supports patients with neurological conditions by providing precise measurement of both visual attention and neural activity, improving the development of responsive assistive devices.
 
By simplifying complex data integration, the collaboration accelerates research and application development, marking a significant step forward in MedTech that promises to transform human-computer interaction and patient care.