Journal ArticleDOI
An Electrooculography based Human Machine Interface for wheelchair control
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TLDR
A robust system that generates control command using only one type of asynchronous eye activity (voluntary eye blink) to navigate the wheelchair without a need of graphical user interface to provide a user-friendly, cost-effective and reliable HMI.About:
This article is published in Biocybernetics and Biomedical Engineering.The article was published on 2019-07-01. It has received 29 citations till now. The article focuses on the topics: Interface (computing) & Electrooculography.read more
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Journal ArticleDOI
Self-powered eye motion sensor based on triboelectric interaction and near-field electrostatic induction for wearable assistive technologies
TL;DR: In this paper, a non-attached Electrode-Dielectric Triboelectric Sensor (NEDTS) is proposed for wearable human-machine interfaces (HMI).
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Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era
TL;DR: This review systematically introduces the current TENG HMIs in the aspects of different application scenarios, i.e., wearable, robot-related and smart home, and prospective future development enabled by the AI/haptic-feedback technology.
Journal ArticleDOI
Validation of Electroencephalographic Recordings Obtained with a Consumer-Grade, Single Dry Electrode, Low-Cost Device: A Comparative Study.
Hector Rieiro,Hector Rieiro,Carolina Diaz-Piedra,Carolina Diaz-Piedra,José Morales,Andrés Catena,Samuel Romero,Joaquín Roca-González,Luis J. Fuentes,Leandro L. Di Stasi +9 more
TL;DR: Overall, the NeuroSky MindWave is noise-limited, but provides stable recordings even through long periods of time, which would be of adequate quality compared to that of conventional wet electrode EEG devices, except for a potential calibration error and spectral differences at low frequencies.
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Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review.
TL;DR: A review of electromyogram (EMG) or electrooculogram (EOG) signal-based control system for driving the wheelchair for disabled, which examines a total of 70 EMG studies and 25 EOG studies published from 2000 to 2019.
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Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.
Daniele Esposito,Jessica Centracchio,Emilio Andreozzi,Gaetano D. Gargiulo,Ganesh R. Naik,Ganesh R. Naik,Paolo Bifulco +6 more
TL;DR: In this article, a large literature review of the last two decades regarding biosignal-based human-machine interface (HMI) for assistance and rehabilitation to outline state-of-the-art and identify emerging technologies and potential future research trends is presented.
References
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Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.
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Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
TL;DR: The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec, which means that subjects can communicate 12.0 bits, or 2.3 characters, per min.
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World report on disability.
Tom Shakespeare,Alana Officer +1 more
TL;DR: The World report identifies rehabilitation research gaps and challenges the rehabilitation community to situate its work within the human rights agenda, along the lines of Article 26 of the Convention on the Rights of Persons with Disabilities.
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A spelling device for the paralysed
Niels Birbaumer,N. Ghanayim,Thilo Hinterberger,Iver H. Iversen,Boris Kotchoubey,Andrea Kübler,J. Perelmouter,Edward Taub,Herta Flor +8 more
TL;DR: A new means of communication for the completely paralysed that uses slow cortical potentials of the electro-encephalogram to drive an electronic spelling device is developed.
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An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method
TL;DR: The positive characteristics of the proposed SSVEP-based BCI system are that channel selection and parameter optimization are not required, the possible use of harmonic frequencies, low user variation and easy setup.