S19-059 Improved Virtual-to-Real Alignment for Augmented Reality Researchers at Stanford have developed a software application solution to the spatial computing problem of aligning virtual content to the real world. Christoph Leuze Supriya Sathyanarayana Jennifer McNab
S18-010 Automated Gait Analysis using video Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video. Scott Delp Lukasz Kidzinski Bryan Yang Michael Schwartz Jennifer Hicks