Browsing Category: BCI

Thought controlled television

Samsung and EPFL researchers, including Ricardo Chavarriaga, are developing Project Pontis, a BCI system meant to allow the disabled to control a TV with their thoughts. The prototype uses a 64 sensor headset plus eye tracking to determine when a user has selected a particular movie. Machine learning is used to build a profile of […]

Brain-to-brain communication interface

Rajesh Rao and University of Washington colleagues have developed BrainNet, a non-invasive direct brain-to-brain interface for multiple people.  The goal is a social network of human brains for problem solving. The interface combines EEG to record brain signals and TMS to deliver information to the brain, enabling 3 people to collaborate via direct brain-to-brain communication. […]

Bob Knight on decoding language from direct brain recordings | ApplySci @ Stanford

Berkeley’s Bob Knight discussed (and demonstrated) decoding language from direct brain recordings at ApplySci’s recent Wearable Tech + Digital Health + Neurotech Silicon Valley at Stanford: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George […]

Nathan Intrator on epilepsy, AI, and digital signal processing | ApplySci @ Stanford

Nathan Intrator discussed epilepsy, AI and digital signal processing at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Mary Lou […]

DARPA’s Justin Sanchez on driving and reshaping biotechnology | ApplySci @ Stanford

DARPA Biological Technologies Office Director Dr. Justin Sanchez on driving and reshaping biotechnology.  Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University. Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 25, 2018 at the MIT Media […]

TMS + VR for sensory, motor skill recovery after stroke

EPFL’s Michela Bassolino has used transcranial magnetic stimulation to create hand sensations when combined with VR. By stimulating the motor cortex,  subjects’ hand muscles  were activated, and involuntary short movements were induced. In a recent study, when subjects observed a virtual hand moving at the same time and in a similar manner to their own […]