Trento, Italy

Xavier Alameda-Pineda


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations in Heart Rate Estimation by Xavier Alameda-Pineda

Introduction

Xavier Alameda-Pineda is an innovative inventor based in Trento, Italy. He has made significant contributions to the field of computer vision, particularly in the area of heart rate estimation from facial videos. His work addresses the challenges of accurately estimating heart rates under realistic conditions, which has important implications for health monitoring and wearable technology.

Latest Patents

Xavier holds a patent titled "Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions." This patent highlights a novel approach to heart rate estimation by utilizing subtle skin color changes due to blood flow, which can be captured in face videos. The method dynamically selects the most relevant regions of the face for robust heart rate estimation, overcoming limitations of previous techniques that relied on fixed regions of interest. The experimental evaluations indicate that his approach significantly outperforms existing methods in naturalistic conditions.

Career Highlights

Throughout his career, Xavier has worked with esteemed institutions such as the University of Trento and the Bruno Kessler Foundation. His research has contributed to advancements in computer vision and health technology, showcasing his commitment to innovation in these fields.

Collaborations

Xavier has collaborated with notable researchers, including Niculae Sebe and Sergey Tulyakov. These collaborations have further enriched his work and expanded the impact of his research in the scientific community.

Conclusion

Xavier Alameda-Pineda's contributions to heart rate estimation through innovative computer vision techniques demonstrate his expertise and dedication to advancing technology in health monitoring. His work not only addresses existing challenges but also paves the way for future developments in this important area.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…