Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation

N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli… - Sensors, 2019 - mdpi.com
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Myopoint: Pointing and clicking using forearm mounted electromyography and inertial motion sensors

F Haque, M Nancel, D Vogel - Proceedings of the 33rd Annual ACM …, 2015 - dl.acm.org
We describe a mid-air, barehand pointing and clicking interaction technique using
electromyographic (EMG) and inertial measurement unit (IMU) input from a consumer …

Biosleeve human-machine interface

C Assad - US Patent 9,278,453, 2016 - Google Patents
Abstract Systems and methods for sensing human muscle action and gestures in order to
control machines or robotic devices are disclosed. One exemplary system employs a tight …

A wearable, open-source, lightweight forcemyography armband: On intuitive, robust muscle-machine interfaces

J Chapman, A Dwivedi… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
With an increasing number of robotic and prosthetic devices, there is a need for intuitive
interfaces which enable the user to efficiently interact with them. The conventional interfaces …

A hybrid Body-Machine Interface integrating signals from muscles and motions

F Rizzoglio, C Pierella, D De Santis… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. Body-Machine Interfaces (BoMIs) establish a way to operate a variety of devices,
allowing their users to extend the limits of their motor abilities by exploiting the redundancy …

Leveraging task-specific context to improve unsupervised adaptation for myoelectric control

E Eddy, E Campbell, S Bateman… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
While there has been renewed interest in the use of myoelectric control for general-purpose
applications, the burden of training and maintaining robust models still limits its real-world …

Emg based rehabilitation systems-approaches for als patients in different stages

YL Wang, AWY Su, TY Han, CL Lin… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
For the patients suffering from amyotrophic lateral sclerosis (ALS), they are encouraged to
exercise their bodies routinely to prevent or delay the paralysis of muscles. This work …

Towards finger gestures and force recognition based on wrist electromyography and accelerometers

B Lv, X Sheng, W Guo, X Zhu, H Ding - … 16–18, 2017, Proceedings, Part I …, 2017 - Springer
Surface electromyography (EMG) is widely used in hand gesture recognition for human-
computer interface (HCI). This paper presents a finger gesture recognition scheme at two …

Development of a wearable HCI controller through sEMG & IMU sensor fusion

J Kim, M Kim, K Kim - 2016 13th International Conference on …, 2016 - ieeexplore.ieee.org
This paper studies a novel wearable human-computer interface that allows a user to interact
with computer-based applications through the fusion of sEMG and IMU sensors. The …