Use of artificial intelligence techniques to assist individuals with physical disabilities

S Pancholi, JP Wachs… - Annual Review of …, 2024 - annualreviews.org
Assistive technologies (AT) enable people with disabilities to perform activities of daily living
more independently, have greater access to community and healthcare services, and be …

[HTML][HTML] A Comparison of Immersive vs. Non-Immersive Virtual Reality Exercises for the Upper Limb: A Functional Near-Infrared Spectroscopy Pilot Study with Healthy …

M Dordevic, O Maile, A Das, S Kundu, C Haun… - Journal of Clinical …, 2023 - mdpi.com
Functional near-infrared spectroscopy (fNIRS) allows for a reliable assessment of
oxygenated blood flow in relevant brain regions. Recent advancements in immersive virtual …

[HTML][HTML] The Latest Research Progress on Bionic Artificial Hands: A Systematic Review

K Guo, J Lu, Y Wu, X Hu, H Yang - Micromachines, 2024 - mdpi.com
Bionic prosthetic hands hold the potential to replicate the functionality of human hands. The
use of bionic limbs can assist amputees in performing everyday activities. This article …

[HTML][HTML] Cortical activation of neuromuscular electrical stimulation synchronized mirror neuron rehabilitation strategies: an fNIRS study

Y Cui, F Cong, F Huang, M Zeng, R Yan - Frontiers in Neurology, 2023 - frontiersin.org
Background The mirror neuron system (MNS) plays a key role in the neural mechanism
underlying motor learning and neural plasticity. Action observation (AO), action execution …

Synchronous gesture recognition and muscle force estimation based on piezoelectric micromachined ultrasound transducer

M Qu, J Zhou, D Lv, G Zhang, Y Zheng, J Xie - Sensors and Actuators A …, 2024 - Elsevier
Early prosthetic control research mainly focused on motion intention recognition, but in
recent years, study on control force has emerged. The simultaneous integration of motion …

[HTML][HTML] Deep learning-based framework for real-time upper limb motion intention classification using combined bio-signals

AU Syed, NY Sattar, I Ganiyu, C Sanjay… - Frontiers in …, 2023 - frontiersin.org
This research study proposes a unique framework that takes input from a surface
electromyogram (sEMG) and functional near-infrared spectroscopy (fNIRS) bio-signals …

Brain Computer Interface (BCI) Machine Learning Process: A Review

SA Hanafi, HBA Rahman, DAA Pertiwi… - Journal of Electronics …, 2023 - shmpublisher.com
Abstract The abstraction of Brain Computer Interface (BCI) is a communication and control
system that translated human mind thoughts into real-world interaction without any use of …

State-of-the-Art fNIRS for Clinical Scenarios: A Brief Review

SA Mirdan, AA Nikolaevich - … Networks and Sustainability in the AIoT Era, 2024 - Springer
Technologies that monitor human health, diagnose health problems, or contribute to the
study of brain functions and translate them into commands in the pursuit of finding …

Human Motion Pattern Recognition Based on Nano-sensor and Deep Learning

S Ji, C Lin - Information Technology and Control, 2023 - itc.ktu.lt
A human motion pattern recognition algorithm based on Nano-sensor and deep learning is
studied to recognize human motion patterns in real time and with high accuracy. First …

Belgorod State National Research University, Belgorod, Russia aliofphysics777ali@ gmail. com

SA Mirdan, AA Nikolaevich - FORTHCOMING NETWORKS AND …, 2024 - books.google.com
Technologies that monitor human health, diagnose health problems, or contribute to the
study of brain functions and translate them into commands in the pursuit of finding …