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**Deciphering the Future: Insights into Eye Tracking and the Realm of Virtual Human Faces **
In this discourse, the CTO of Vertify GmbH, Dipl.-Ing. Christof Stocker, delves deeply into the intricacies of Eye Tracking technology and the significance of Virtual Human Faces. He, being a seasoned machine learning expert, has been at the forefront of developing class IIa medical devices, focusing on integrating eye movements on smartphones. Vertify GmbH has innovated applications using high-end synthetic training data for diverse purposes, set to launch in the upcoming years, including EyeStabilizer and VertifyMed.
Christofâ??s passion revolves around analyzing human faces for safety-critical applications, a subject that is packed with potential and risk. He details the multifold reasons for eye tracking, ranging from monitoring drivers’ gaze to medical and entertainment purposes, highlighting its pivotal role in understanding and analyzing the facial structure for applications such as Face ID and authentication. His discourse also taps into the playful applications of this technology in virtual try-ons and augmented reality, explaining the need for facial analysis in safety-critical domains.
He provides a meticulous walkthrough of the eye-tracking process, demonstrating the software’s ability to live-track and identify various components and movements of the face and the eyes, making the system comprehend the orientation of the eyes relative to the head. The conversation emphasizes the myriad complexities involved in the system, particularly, the process of domain gating and the need for realism and diversity in synthetic training data. He illustrates the challenges faced by the model when encountering unprecedented data and underscores the crucial role of synthetic data in overcoming these challenges, illustrating with examples from synthesized data.
The dialogue shifts to practical applications, with a focus on the medical industry and dizziness assessment. Christof sheds light on the regulatory and practical challenges in the medical industry, such as the need for working with real data and creating faces that are not conventionally â??prettyâ?? or ideal, emphasizing the need to simulate varied and realistic conditions, including bad skin conditions and different age groups. The discussion also touches on the potential of this technology in identifying eye diseases, highlighting its current focus on simulating different eye conditions and analyzing movement patterns.