April 3, 2019

In this project, we present MyoTrack, a realtime classification procedure that identifies levels of subject participation during robot-assisted rehabilitation using a wearable surface electromyography (sEMG) Myo armband. We hypothesize, test, and prove that high sEMG c...

November 13, 2018

TLDR: Just scroll down to the video and watch reinforcement learning in action.

Reinforcement learning has created quite the stir in recent years. Ever since Deep Mind's AlphaGO defeated the world champion at the game of Go, it has been a phrase on almost everyone's li...

November 13, 2018

Maintaining patient engagement is a key challenge in any rehabilitation paradigm. In conventional hospital-centric therapy, the therapist ensures patient engagement and motivation towards therapy. In robotic rehabilitation, this human chaperone is absent. We are trying...

August 18, 2018

In this paper, we discuss the development and testing of a haptics-based stroke rehabilitation system. The system involves a 6-degrees of freedom haptic device and a virtual reality game designed to induce implicit learning in users. We present the preliminary usabilit...

August 16, 2018

In this paper, we present a haptics-based rehabilitation system that uses kinematics of a haptic device to monitor a subject's participation in therapy. In robot-assisted therapy, it is crucial to monitor if the patient is actively performing the rehabilitation task an...

November 22, 2017

In this project we propose the MyoTrack system, which uses the Myo surface electromyography device to augment arm tracking accuracy rates achieved by IMU strategies, while maintaining the privacy and convenience of using mobile devices.  We present a classification rou...

August 26, 2015

According to Csikszentmihalyi -“Flow is a state of peak enjoyment, energetic focus, and creative concentration experienced by people engaged in adult play, which has become the basis of a highly creative approach to living." In this study we use passive BCI recordings...

August 20, 2015

Recognition of user’s mental engagement is imperative to the success of Human Machine Interaction (HMI). By conducting a series of human experiments, we obtain implicit information about the cognitive and affective state of the subject using passive BCI recordings. We...

Please reload

University of Illinois at Urbana-Champaign

  • Black LinkedIn Icon
  • YouTube - Black Circle
  • Instagram Social Icon
This site was designed with the
website builder. Create your website today.
Start Now