Jaron Lanier: Often called the “father of virtual reality,” Lanier’s work at Microsoft Research involves developing gesture recognition systems, most notably for projects like the Microsoft Kinect. Lanier’s perspectives on human-computer interaction continue to influence the field.
Shyam Sundar Rajaraman: A significant contributor to Intel’s RealSense technology, Rajaraman focuses on computer vision and machine perception to improve gesture recognition in real-world environments.
Dr. Shahram Izadi: Once a principal researcher at Microsoft, Izadi has contributed extensively to the Kinect’s gesture recognition capabilities. He emphasizes real-time interactive systems and user interfaces.
John Canny: A professor at UC Berkeley, Canny’s work on computer vision and human-computer interaction has set foundational principles for gesture recognition, especially regarding algorithms for edge detection in images.
Alexandre Alahi: Currently an assistant professor at EPFL, Alahi’s research in computer vision, particularly in the domain of social and human behavior understanding, provides crucial insights for gesture recognition applications.
Christian Holz: A researcher at Apple, Holz’s work largely focuses on human-computer interaction, bringing novel concepts to the realm of gesture recognition, particularly for touch interfaces.
Jamie Shotton: As a partner scientist at Microsoft Research, Shotton has been pivotal in developing hand gesture recognition systems for the Kinect. His research delves deep into human pose estimation and machine learning.
Chris Harrison: An assistant professor at Carnegie Mellon, Harrison’s work at the university’s Future Interfaces Group emphasizes novel user interface technologies, including advancements in gesture recognition.
Andrew Fitzgibbon: Affiliated with Microsoft Research, Fitzgibbon has made significant contributions to camera-based gesture recognition. His work intersects computer vision, graphics, and machine learning.
Jenny Clarke: As part of the team at Ultraleap (previously known as Leap Motion), Clarke has been instrumental in the development of touchless gesture recognition systems using hand and finger tracking technologies.
