Researchers in the Noh Lab have developed a gait based, emotion recognition system using geophone sensors that are attached to the floor. People's gait changes under various emotions creating distinct structural vibration patterns.
Stanford inventors have developed an information theoretic, seizure detection algorithm for electroencephalography (EEG) towards improving diagnosis, management, and treatment of patients with epilepsy.
A Stanford bioengineering researcher developed an optical sensor based muscle and body motion tracking system for use with prosthetics and wearable human machine interfaces.
Doctors with Stanford Medicine have developed a multi-user, mixed reality medical simulation application. Medical in-situ and simulation training centers cost millions of dollars a year to administer, with limited availability to those in remote areas or the third world.
Researchers in Prof. Allison Okamura's laboratory have patented a small, simple tactile display that can automatically control both its surface geometry and its mechanical properties.
Stanford researchers have patented a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations.
Stanford researchers have patented an automated method for generating articulated human models consisting of both morphological and kinematic model data.
Stage of research
Researchers designed electro-optical gratings for fluorescence microscopy - a drop in to existing systems with no new lenses. Researchers demonstrate a 9x improvement on FOV using Olympus 10x/0.6NA WI immersion objective at 3.3 Hz.
Researchers from Stanford University and the Max Planck Institute have patented a new marker-less approach to capturing human performances from multi-view video.