Prototype of an auto-calibrating, context-aware, hybrid brain-computer interface

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:1827-30. doi: 10.1109/EMBC.2012.6346306.

Abstract

We present the prototype of a context-aware framework that allows users to control smart home devices and to access internet services via a Hybrid BCI system of an auto-calibrating sensorimotor rhythm (SMR) based BCI and another assistive device (Integra Mouse mouth joystick). While there is extensive literature that describes the merit of Hybrid BCIs, auto-calibrating and co-adaptive ERD BCI training paradigms, specialized BCI user interfaces, context-awareness and smart home control, there is up to now, no system that includes all these concepts in one integrated easy-to-use framework that can truly benefit individuals with severe functional disabilities by increasing independence and social inclusion. Here we integrate all these technologies in a prototype framework that does not require expert knowledge or excess time for calibration. In a first pilot-study, 3 healthy volunteers successfully operated the system using input signals from an ERD BCI and an Integra Mouse and reached average positive predictive values (PPV) of 72 and 98% respectively. Based on what we learned here we are planning to improve the system for a test with a larger number of healthy volunteers so we can soon bring the system to benefit individuals with severe functional disability.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain-Computer Interfaces*
  • Calibration
  • Cortical Synchronization
  • Evoked Potentials
  • Humans
  • Male
  • Task Performance and Analysis