A review of the key technologies for sEMG-based human-robot interaction systems

K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era

Z Sun, M Zhu, C Lee - Nanoenergy Advances, 2021 - mdpi.com
Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable
of providing humans with more intuitive interaction with the digitalized world have …

Artificial intelligence of things applied to assistive technology: a systematic literature review

MP de Freitas, VA Piai, RH Farias, AMR Fernandes… - Sensors, 2022 - mdpi.com
According to the World Health Organization, about 15% of the world's population has some
form of disability. Assistive Technology, in this context, contributes directly to the overcoming …

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 …

A low-cost, wireless, 3-D-printed custom armband for sEMG hand gesture recognition

U Côté-Allard, G Gagnon-Turcotte, F Laviolette… - Sensors, 2019 - mdpi.com
Wearable technology can be employed to elevate the abilities of humans to perform
demanding and complex tasks more efficiently. Armbands capable of surface …

Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control

Z Tang, H Yu, H Yang, L Zhang, L Zhang - Computers in Biology and …, 2022 - Elsevier
Most studies on estimating user's joint angles to control upper-limb exoskeleton have
focused on using surface electromyogram (sEMG) signals. However, the variations in limb …

A framework for optimizing co-adaptation in body-machine interfaces

D De Santis - Frontiers in Neurorobotics, 2021 - frontiersin.org
The operation of a human-machine interface is increasingly often referred to as a two-
learners problem, where both the human and the interface independently adapt their …

A multimodal adaptive wireless control interface for people with upper-body disabilities

CL Fall, F Quevillon, M Blouin, S Latour… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper describes a multimodal body-machine interface (BoMI) to help individuals with
upper-limb disabilities using advanced assistive technologies, such as robotic arms. The …

Intuitive adaptive orientation control for enhanced human–robot interaction

A Campeau-Lecours, U Côté-Allard… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Robotic devices can be leveraged to raise the abilities of humans to perform demanding and
complex tasks with less effort. Although the first priority of such human-robot interaction …

Pattern recognition based on HD-sEMG spatial features extraction for an efficient proportional control of a robotic arm

F Nougarou, A Campeau-Lecours, D Massicotte… - … Signal Processing and …, 2019 - Elsevier
To enable an efficient alternative control of an assistive robotic arm using electromyographic
(EMG) signals, the control method must simultaneously provide both the direction and the …