Presentations


Journal Club   Slides   Posters   Videos

JOURNAL CLUB

Students, faculty, and interested guests are all welcome to attend the lab's weekly Journal Club. These meetings provide an opportunity for a speaker to present his or her research to the group as well as a forum for discussion on a variety of topics. Journal Club meets Mondays from 1:00 to 2:00 in Talbot Library (Traylor 709). Contact Yoonju Cho (ycho20@jhu.edu) for more information.

PRESENTATION SLIDES


POSTERS

NIH NEURAL INTERFACING MEETING (Aug 21-23, 2006)

Multimodal Neuromonitoring

DARPA SEMI-ANNUAL REVIEW (June 23, 2006)

BMI for Finger Control EMG with Haptics

BME DESIGN DAY (May 9, 2006)

Prosthetics w/ Haptics

VIDEOS

NEURAL SPIKE DECODING DEMO

We demonstrate real-time neuronal decoding of M1 neurons of a non-human primate for single finger movements. This demo shows actuation of individual fingers of a robotic hand to perform a dexterous control task: playing a piano.


Real-time decoding shows potential of a prosthetic user being able to play more complex melodies such as Frere Jacques.

EMG PROSTHESIS CONTROL WITH HAPTIC FEEDBACK

We demonstrate EMG control of a prosthetic hand that is coupled with vibrotactile feedback on the chest of haptic information from a mounted force sensor.

BCI DEMOS

Rob Rasmussen controls the opening and closing of a servo-actuated robotic arm using his EEG signals. This simple non-invasive control scheme uses a Z-score based motor imagery paradigm.


This simple robotic hand from Otto Bock enables gripping release of objects of various sizes and compliance. Sensors at the fingertips stops the hand from closing further and crushing the object.


Rob Rasmussen demonstrates noninvasive BCI control of a neuroprosthetic. Using a 1-D control signal, the subject is still able to grasp objects of various size without crushing them.

CHALLENGE PROJECT DEMOS

A foot pad interface with pressure sensors controls finger motions of a robotic hand to drive a Martian rover simulation.


A head tilt interface with linear accelerometers controls the same Martian rover simulation.