Danderyd, Sweden

David Molin

USPTO Granted Patents = 2 


Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):Explore Patents

Title: David Molin: Innovator in Eye Tracking Technology

Introduction

David Molin is a prominent inventor based in Danderyd, Sweden. He has made significant contributions to the field of eye tracking technology, holding a total of 2 patents. His work focuses on enhancing gaze prediction and calibration methods, which are crucial for various applications in human-computer interaction.

Latest Patents

Molin's latest patents include groundbreaking innovations in deep learning for three-dimensional (3D) gaze prediction. This patent discloses a computer-implemented eye tracking system that detects 3D gaze by utilizing head pose parameters and eye images. The system employs a neural network to generate accurate 3D gaze information, enhancing the precision of eye tracking applications.

Another notable patent is related to the determination of gaze calibration parameters. This method involves obtaining gaze tracking data and position information of target visuals to establish effective calibration parameters. By comparing scores derived from different data subsets, the method ensures that the calibration parameters accurately reflect the viewer's gaze, improving the reliability of eye tracking systems.

Career Highlights

Throughout his career, David Molin has worked with notable companies such as Tobii AB and Tobil AB. His experience in these organizations has allowed him to refine his expertise in eye tracking technology and contribute to innovative solutions in the field.

Collaborations

Molin has collaborated with talented individuals such as Tommaso Martini and Maria Gordon. These partnerships have fostered a creative environment that has led to advancements in eye tracking research and development.

Conclusion

David Molin's contributions to eye tracking technology through his patents and collaborations highlight his role as an innovator in the field. His work continues to influence advancements in gaze prediction and calibration methods, paving the way for future developments in human-computer interaction.

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