A Stanford bioengineering researcher developed an optical sensor based muscle and body motion tracking system for use with prosthetics and wearable human machine interfaces.
Stanford researchers have developed a technique to interpret contact events between a human and a device equipped with a force sensor. It can detect and classify distinct touch interactions such as tap, touch, grab, and slip.
Stanford researchers at the Okamura Lab have prototyped a computerized "pillow" that fits in the hand and uses air pressure to measure involuntary grip force (spastic hypertonia).
This invention is a practical extension of Stanford docket S05-170 (photosensitive proteins Channelrhodopsins) and describes an implantable, light-generating device for the optical stimulation of neural
Stanford researchers at the Chichilnisky lab have developed a novel framework for a far superior artificial retina with strikingly near optimal efficiency (96%) of visual perception.
Stanford engineers at Zhenan Bao's laboratory have designed a compliance sensor which can identify softness (compliance) of touched objects and provide human-like sensation to robots and prosthetics.
Stanford researchers have designed a non-invasive, low power ultrasonic neuromodulation device which can target tissue deep in the brain with high spatial-temporal resolution.
Stanford researchers in the Biomimetics and Dexterous Manipulation Lab have patented a low cost, high performance multi-axis capacitive tactile sensor that measures all six components of force and torque.
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.
Engineers in Prof. Mark Cutkosky's laboratory have developed patented electrostrictive elements that can support high loads over a long lifetime when used as variable suspension systems for robots, autonomous vehicles or prosthetics.
Summary: Stanford researchers at the Melosh Lab have proposed a non-invasive, high electrode density, high resolution (100 micrometers to 10 nanometers) neural device implantation for electrical stimulation of neural/biological tissues.