A Game-Based Learning Framework For Controlling Brain-Actuated Wheelchairs

  title={A Game-Based Learning Framework For Controlling Brain-Actuated Wheelchairs},
  author={Rolf-Magnus Hjorungdal and Filippo Sanfilippo and Ottar L. Osen and Adrian Rutle and Robin T. Bye},
Paraplegia is a disability caused by impairment in motor or sensory functions of the lower limbs. Most paraplegic subjects use mechanical wheelchairs for their movement, however, patients with reduced upper limb functionality may benefit from the use of motorised, electric wheelchairs. Depending on the patient, learning how to control these wheelchairs can be hard (if at all possible), timeconsuming, demotivating, and to some extent dangerous. This paper proposes a game-based learning framework… 

Figures from this paper

On Usage Of EEG Brain Control For Rehabilitation Of Stroke Patients

This paper demonstrates rapid prototyping of a stroke rehabilitation system consisting of an interactive 3D virtual reality computer game environment interfaced with an EEG headset for control and

Serious Game Based on Myo Armband for Upper-Limb Rehabilitation Exercises

The purpose of a rehabilitation processes is to restore a person to a state of optimal functioning. A wide variety of rehabilitation processes consist of repetition tasks. Thus, Serious Games (SG)

Development and pilot test of a virtual reality system for electric powered wheelchair simulation

This work introduces UFES's SimCadRoM, a virtual reality (VR) system for EPW driving training purposes and testing of control interfaces, which uses a real EPW and a VR headset, making the system very immersive.

Brain-computer interface games based on consumer-grade electroencephalography devices: systematic review and controlled experiments

A systematic literature review of BCI games based on consumer-grade technology was performed with over 2,200 works investigated, and twoBCI games, one using attention and the other using meditation as control signals, were developed in order to investigate key aspects of player interaction.

Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review

The search shows that although many games were created with simplified controls for research purposes, there was an increasing number of more user-friendly BCI games, especially for entertainment, and the most predominant control signals were the attention and meditation, followed by motor imagery and emotion recognition, being mainly captured by NeuroSky and Emotiv EEG devices.

10 years of EPOC: A scoping review of Emotiv’s portable EEG device

BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have become increasingly available over the last decade. One of these devices, Emotiv EPOC, is currently used in a wide

A Real-Time Multi-Objective Predictive Control Strategy for Wheelchair Ergometer Platform

A real-time multi-objective predictive control strategy for the wheelchair ergometer platform that allows simulating the manual wheelchair (MWC) propulsion in virtual reality (VR) by accurately detecting and tracking the rotation of the driving wheels.



Asynchronous non-invasive brain-actuated control of an intelligent wheelchair

The results show that the three subjects could achieve a significant level of mental control, even if far from optimal, to drive an intelligent wheelchair.

On Usage Of EEG Brain Control For Rehabilitation Of Stroke Patients

This paper demonstrates rapid prototyping of a stroke rehabilitation system consisting of an interactive 3D virtual reality computer game environment interfaced with an EEG headset for control and

Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic

The aim of the present study was to demonstrate for the first time that brain waves can be used by a tetraplegic to control movements of his wheelchair in virtual reality (VR) using a single bipolar EEG recording.

Adaptive EEG Thought Pattern Classifier for Advanced Wheelchair Control

  • D. CraigH.T. Nguyen
  • Computer Science
    2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2007
A real-time electroencephalogram (EEG) classification system is presented, with the goal of enhancing the control of a head-movement controlled power wheelchair for patients with chronic spinal cord injury (SCI).

Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair

This paper presents a system, helping a brain-computer interface (BCI) subject perform goal-directed navigation of a simulated wheelchair in an adaptive manner, and shows that a subject with a lower BCI performance has more need for extra assistance in difficult situations, such as manoeuvring in a narrow corridor.

Electroencephalogram-based control of an electric wheelchair

The experimental results demonstrate the utility of the proposed recursive training algorithm and the viability of accomplishing direction control of an electric wheelchair by only EEG signals.

Performance of the Emotiv Epoc headset for P300-based applications

Although this low-cost headset is able to record EEG data in a satisfying manner, it should only be chosen for non critical applications such as games, communication systems, etc, and not for rehabilitation or prosthesis control, because of a lack of reliability.

A Fully-Immersive Hapto-Audio-Visual Framework for Remote Touch

This paper presents the development of an opensource low-cost framework for a fully-immersive haptic, audio and visual experience by exclusively adopting commercial off-the-shelf (COTS) components and tools.

A mapping approach for controlling different maritime cranes and robots using ANN

A new method for implementing a flexible mapping procedure between a universal input device and the manipulators to be controlled based on the use of Artificial Neural Networks is introduced in this paper.

A universal control architecture for maritime cranes and robots using genetic algorithms as a possible mapping approach

This paper introduces a flexible and general control system architecture that allows for modelling, simulation and control of different models of maritime cranes and, more generally, robotic arms by