Researchers: Steve DiPaola, Mahdi Davoodikakhki, Andrey Goncharov, Nilay Ozge Yalcin
The Research
XR (VR/AR/3D) systems where a person (at home or work) can fully express themselves as a 3D avatar in desktop or full VR. With and without motion tracking their gestures and facial expressions. For education (fully credited university XR class), as coaches for the elderly and others, and as a trainer in health (like we did here with nurses during covid).
Samples of our work can be seen below:
Our work with fully credited university XR class during COVID (COGS100 at SFU) using XR systems with full mocap avatars, interactive multimedia etc.
Fully reacting AR coaches in front of you, to discuss the Climate Change or here to be there for an elderly woman to help her as an assistant:
Full motion tracked VR interactive for health training nurses (during COVID):
------ PAPERS: XR Avatars; Edu, Coaches, Health ------
Efficiently Simulating the Bokeh of Polygonal Apertures in a Post-Process Depth of Field Shader by
McIntosh L; Riecke B; DiPaola S – Journal – Vol 31. No 6. pp. 1810-1822
Computer Graphics Forum (2012)
Binding the pair; making a historical case for avicentric self-expression within 3D virtual communities by
DiPaola S; Turner J; Browne P – Journal – Vol 7. No 2. pp. 157-173
International Journal of Web-Based Communities (2011)
A Framework for Socially Communicative Faces in Games and Interactive Applications by
DiPaola S; Arya A – Conference – pp. 129-136. New York. NY
ACM Conference on Future Play (2007)
Socially communicative characters for interactive applications by
Arya A; DiPaola S; Jefferies L; Enns JT – Conference – 8 pages
Visualization and Computer Vision (2006)
Ratava?s Line; Emergent Learning and Design Using Collaborative Virtual Worlds by
DiPaola S; Dorash D; Brandt G – Conference – 4 pages
ACM SIGGRAPH - Educators Program (2004)