Pupil Labs provides cutting-edge eye tracking technology, including hardware and software, to understand human attention and cognitive processes for research and real-world applications.
Pupil Labs specializes in developing and deploying deep learning-powered eye tracking solutions for researchers and innovators. Their offerings include wearable eye trackers like Neon, which capture accurate gaze, 3D eye-state, pupillometry, and eyelid movements even in challenging conditions. The company's software facilitates intuitive data analysis, enabling users to extract meaningful insights from visual engagement patterns through features like heatmap generation and experiment management. By providing open data formats, interfaces, and geometry, Pupil Labs fosters integration into diverse products and prototypes, making it a versatile solution across sectors like sports performance, medical diagnosis, UX research, and extended reality. Their technology empowers the understanding of human attention, emotion, and decision-making.
Pupil Labs specializes in developing and deploying deep learning-powered eye tracking solutions for researchers and innovators.
Explore all tools that specialize in eye movement tracking. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
Explore all tools that specialize in gaze data analysis. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
Explore all tools that specialize in pupillometry analysis. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
Explore all tools that specialize in visual attention research. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
Explore all tools that specialize in experiment management. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
Explore all tools that specialize in real-time data streaming. This domain focus ensures Pupil Labs delivers optimized results for this specific requirement.
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