Special Session on Neuro-Interfacing Wearable Robots: Current State and Future Steps

publicado en: Calls, Conferences | 0
Call for submissions:
The Special Session on Neuro-Interfacing Wearable Robots: Current State and Future Steps will be held in the framework of the IEEE SMC 2017’s 7th Workshop on Brain-Machine Interfaces Systems, October 5-8, 2017 in Banff, Canada. SMC2017 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society.
SMC Special Session
Wearable robots (WR) are person-oriented devices, usually in the form of exoskeletons, that find applications in the enhancement of intact operators or in clinical environments, e.g. rehabilitation of limbs function in neurologically injured patients. The possibility of using BCI systems to interact with WRs has emerged in the last year as a promising natural interface that can provide a transparent way of interaction for intact operators and may improve the rehabilitation of injured patients. This session proposal aims at contributing to discuss the state of the art on BCI systems for WRs and to analyze the future steps that have to be followed to successful interact with WR. The discussions will highlight particularly issues related to novel solutions to cope with brain-robot interaction for ambulant wearable robots for walking.

Submission of contributions

The special session paper submission deadline is April 7, 2017. The code of the session is 6u4q5. Please, use this link to submit your contribution: http://www.smc2017.org/?q=node/6
All special session paper submissions will be reviewed in the same way as main conference Regular Papers. Only papers of SMC Conference quality will be accepted for presentation. Authors will be notified decisions by May 25, 2017. Accepted papers will be published in the conference proceedings and will be included in IEEE Xplore (Note: Accepted papers that are not PHYSICALLY presented at SMC 2017 will be excluded from the IEEE Xplore).
Special Session organizers:
  • José L. Contreras-Vidal, Laboratory for Noninvasive Brain-Machine Interface Systems University of Houston, USA
  • José M. Azorín, Brain-Machine Interface Systems Lab, Miguel Hernández University of Elche, Spain