Hi Amelia,
I’ve worked with Tobii EyeX on AI-powered builds before, and I can understand the challenges you’re facing with performance, especially when trying to optimize for high-demand projects like gaming and simulations.
One thing I’d suggest is checking the resource allocation in your system settings. AI processing can be very resource-intensive, and sometimes it might compete for CPU/GPU power with the Tobii software. You might want to adjust the priority for EyeX or allocate more resources to it in Task Manager (for Windows). Additionally, if you have an AI system that’s running multiple background processes, consider turning off unnecessary tasks when using EyeX to ensure smoother performance.
In terms of the EyeX data streams, it might be worth experimenting with the refresh rate and data output settings in the Tobii software. Higher refresh rates can sometimes cause latency, especially on high-performance systems, so it might be beneficial to lower it slightly to see if that stabilizes the feedback loop.
I’ve also found that tweaking the Tobii settings based on your environment (lighting conditions, distance from the sensor, etc.) can make a significant difference in tracking smoothness. You can test different configurations within the Tobii software to match your setup.
Another tip is to ensure that your graphics drivers and Tobii SDK are up to date—sometimes performance issues arise from outdated software or mismatches in compatibility, especially when integrating with new hardware like AI-powered PCs.
Hope this helps, and let me know if you need further clarification. It would be great to hear about your progress with EyeX and AI in the future!
Best,
Charlie Katherine