Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey

D Esposito, J Centracchio, E Andreozzi, GD Gargiulo… - Sensors, 2021 - mdpi.com
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

Optical fiber sensors for posture monitoring, ulcer detection and control in a wheelchair: a state-of-the-art

AX González-Cely, CAR Diaz… - Disability and …, 2024 - Taylor & Francis
Background In the last ten years, the design and implementation of Optical Fiber Sensors
(OFS) in biomedical applications have been discussed, with a focus on different subareas …

Monte Carlo dropout for uncertainty estimation and motor imagery classification

D Milanés-Hermosilla, R Trujillo Codorniú… - Sensors, 2021 - mdpi.com
Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an
alternative communication channel to patients with severe motor disabilities, achieving high …

CCA-based compressive sensing for SSVEP-based brain-computer interfaces to command a robotic wheelchair

H Rivera-Flor, D Gurve, A Floriano… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …

Gaze-based, context-aware robotic system for assisted reaching and gras**

A Shafti, P Orlov, AA Faisal - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Assistive robotic systems endeavour to support those with movement disabilities, enabling
them to move again and regain functionality. Main issue with these systems is the complexity …

Hybrid control of a vision-guided robot arm by EOG, EMG, EEG biosignals and head movement acquired via a consumer-grade wearable device

L Minati, N Yoshimura, Y Koike - Ieee Access, 2016 - ieeexplore.ieee.org
Simultaneous acquisition of electrooculogram, jaw electromyogram, electroencephalogram,
and head movement via consumer-grade wearable devices has become possible. Such …

An electrooculography based human machine interface for wheelchair control

AM Choudhari, P Porwal, V Jonnalagedda… - Biocybernetics and …, 2019 - Elsevier
This paper presents a novel single channel Electrooculography (EOG) based efficient
Human–Machine Interface (HMI) for hel** the individuals suffering from severe paralysis …

Effectiveness of social behaviors for autonomous wheelchair robot to support elderly people in Japan

M Shiomi, T Iio, K Kamei, C Sharma, N Hagita - PloS one, 2015 - journals.plos.org
We developed a wheelchair robot to support the movement of elderly people and
specifically implemented two functions to enhance their intention to use it: speaking …

Brain–robot interface-based navigation control of a mobile robot in corridor environments

Y Liu, Z Li, T Zhang, S Zhao - IEEE Transactions on Systems …, 2018 - ieeexplore.ieee.org
This paper proposes a brain–robot interface (BRI)-based control strategy in combination
with the simultaneous localization and map** (SLAM) to achieve the navigation and …

Brain-controlled wheelchair review: From wet electrode to dry electrode, from single modal to hybrid modal, from synchronous to asynchronous

H Wang, F Yan, T Xu, H Yin, P Chen, H Yue… - IEEE …, 2021 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a novel human-computer interaction model, which does
not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the …