2017 · 44 citations · 20 references
ComputingComputer ScienceRehabilitation MedicineAssistive TechnologyHuman-computer InteractionRehabilitationAssistive DevicesAssistive Mobility DevicesAssistive Technology DesignMultimodal InteractionVisual Assistive DevicesWheelchair MobilityCommandsGraphical User InterfacesLimb MobilityMultimodal Control InterfacesMultimodal Interface DesignMultimodal User InterfacesWheelchair TechnologyWheelchair User Interface Design
Human-computer interaction (HCI) research has been playing an essential role in the field of rehabilitation. The usability of the gaze controlled powered wheelchair is limited due to Midas-Touch problem. In this work, we propose a multimodal graphical user interface (GUI) to control a powered wheelchair that aims to help upper-limb mobility impaired people in daily living activities. The GUI was designed to include a portable and low-cost eye-tracker and a soft-switch wherein the wheelchair can be controlled in three different ways: 1) with a touchpad 2) with an eye-tracker only, and 3) eye-tracker with soft-switch. The interface includes nine different commands (eight directions and stop) and integrated within a powered wheelchair system. We evaluated the performance of the multimodal interface in terms of lap-completion time, the number of commands, and the information transfer rate (ITR) with eight healthy participants. The analysis of the results showed that the eye-tracker with soft-switch provides superior performance with an ITR of 37.77 bits/min among the three different conditions (p<;0.05). Thus, the proposed system provides an effective and economical solution to the Midas-Touch problem and extended usability for the large population of disabled users.
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A New Gaze-BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-World Tasks
Antonio Frisoli, Claudio Loconsole, Daniele Leonardis et al. · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2012 · 217 citations
Engineering, Rehabilitation Medicine, Robotics Engineering +16