Wearable sensors: At the frontier of personalised health monitoring, smart prosthetics and assistive technologies

F Khoshmanesh, P Thurgood, E Pirogova… - Biosensors and …, 2021 - Elsevier
Wearable sensors have evolved from body-worn fitness tracking devices to multifunctional,
highly integrated, compact, and versatile sensors, which can be mounted onto the desired …

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 …

Multifunctional biomimetic e-skin constructed in situ on tanned sheep leather as a multimodal sensor for the monitoring of motion and health

Y Yang, L Wang, J Zhang, J Zhou… - Industrial & Engineering …, 2024 - ACS Publications
Bionic electronic skin, with its integrated biological functions, is capable of sensing and
responding to external stimuli, potentially surpassing the ideal flexibility of natural skin in …

A high performance spelling system based on EEG-EOG signals with visual feedback

MH Lee, J Williamson, DO Won… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

Soft Sensors and Actuators for Wearable Human–Machine Interfaces

J Park, Y Lee, S Cho, A Choe, J Yeom, YG Ro… - Chemical …, 2024 - ACS Publications
Haptic human–machine interfaces (HHMIs) combine tactile sensation and haptic feedback
to allow humans to interact closely with machines and robots, providing immersive …

Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review

A Kaur - Journal of medical engineering & technology, 2021 - Taylor & Francis
The human-machine interface (HMI) and bio-signals have been used to control
rehabilitation equipment and improve the lives of people with severe disabilities. This …

EEG-based eye movement recognition using brain–computer interface and random forests

E Antoniou, P Bozios, V Christou, KD Tzimourta… - Sensors, 2021 - mdpi.com
Discrimination of eye movements and visual states is a flourishing field of research and
there is an urgent need for non-manual EEG-based wheelchair control and navigation …

An EEG-/EOG-based hybrid brain-computer interface: Application on controlling an integrated wheelchair robotic arm system

Q Huang, Z Zhang, T Yu, S He, Y Li - Frontiers in neuroscience, 2019 - frontiersin.org
Most existing brain-computer Interfaces (BCIs) are designed to control a single assistive
device, such as a wheelchair, a robotic arm or a prosthetic limb. However, many daily tasks …

Current state of robotics in hand rehabilitation after stroke: a systematic review

C Liu, J Lu, H Yang, K Guo - Applied Sciences, 2022 - mdpi.com
Among the methods of hand function rehabilitation after stroke, robot-assisted rehabilitation
is widely used, and the use of hand rehabilitation robots can provide functional training of …

Developments in the human machine interface technologies and their applications: a review

HP Singh, P Kumar - Journal of medical engineering & technology, 2021 - Taylor & Francis
Human-machine interface (HMI) techniques use bioelectrical signals to gain real-time
synchronised communication between the human body and machine functioning. HMI …