[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system

C Tang, Z Xu, E Occhipinti, W Yi, M Xu, S Kumar… - Nano Energy, 2023 - Elsevier
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

Neuromechanical biomarkers for robotic neurorehabilitation

F Garro, M Chiappalone, S Buccelli… - Frontiers in …, 2021 - frontiersin.org
One of the current challenges for translational rehabilitation research is to develop the
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …

Human lower limb motion intention recognition for exoskeletons: A review

LL Li, GZ Cao, HJ Liang, YP Zhang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Human motion intention (HMI) has increasingly gained concerns in lower limb exoskeletons
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …

Classification of activities of daily living based on grasp dynamics obtained from a leap motion controller

H Sharif, A Eslaminia, P Chembrammel, T Kesavadas - Sensors, 2022 - mdpi.com
Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation
methods have been used to assess the effects of stroke on the performance of activities of …

Statistical database of human motion recognition using wearable IoT—A review

EF Asl, S Ebadollahi, R Vahidnia… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Wearable sensors and the Internet of Things (IoT) will be two buzzwords that will be heard
commonly in the coming decades. The combination of these two technologies soon will …

Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions

N Thiamchoo, P Phukpattaranont - PeerJ Computer Science, 2022 - peerj.com
A myoelectric prosthesis is manipulated using electromyogram (EMG) signals from the
existing muscles for performing the activities of daily living. A feature vector that is formed by …

A novel method for credit scoring based on feature transformation and ensemble model

H Li, A Feng, B Lin, H Su, Z Liu, X Duan, H Pu… - PeerJ Computer …, 2021 - peerj.com
Credit scoring is a very critical task for banks and other financial institutions, and it has
become an important evaluation metric to distinguish potential defaulting users. In this …

A brief overview on machine learning in rehabilitation of the human arm via an exoskeleton robot

S Briouza, H Gritli, N Khraief… - … Conference on Data …, 2021 - ieeexplore.ieee.org
The research in assistance and rehabilitation robotics is a growing and promising domain
that has emerged due to various medical needs such as neuromuscular disorder …

Deep learning analysis based on multi-sensor fusion data for hemiplegia rehabilitation training system for stoke patients

P Zhang, J Zhang - Robotica, 2022 - cambridge.org
By recognizing the motion of the healthy side, the lower limb exoskeleton robot can provide
therapy to the affected side of stroke patients. To improve the accuracy of motion intention …

Modeling the Intent to Interact with VR using Physiological Features

W Nguyen, K Gramann, L Gehrke - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective. Mixed-Reality (XR) technologies promise a user experience (UX) that rivals the
interactive experience with the real-world. The key facilitators in the design of such a natural …