Wavelets behind the scenes: Practical aspects, insights, and perspectives

RC Guido - Physics Reports, 2022 - Elsevier
Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …

Libet's legacy: A primer to the neuroscience of volition

T Dominik, A Mele, A Schurger, U Maoz - Neuroscience & Biobehavioral …, 2024 - Elsevier
The neuroscience of volition is an emerging subfield of the brain sciences, with hundreds of
papers on the role of consciousness in action formation published each year. This makes …

A data-driven framework for intention prediction via eye movement with applications to assistive systems

F Koochaki, L Najafizadeh - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Fast and accurate human intention prediction can significantly advance the performance of
assistive devices for patients with limited motor or communication abilities. Among available …

Deep learning model using ensemble based approach for walking activity recognition and gait event prediction with grey level co-occurrence matrix

E Anbalagan, SM Anbhazhagan - Expert Systems with Applications, 2023 - Elsevier
Human walking activity recognition is the process of correctly identifying the actions
performed by the user, and gait analysis is utilized to detect the abnormalities present in …

Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model

Y Lu, H Wang, J Niu, Z Lu, C Liu, N Feng - Biomedical Signal Processing …, 2025 - Elsevier
The lower limb exoskeleton can help the human jump movement and expand jump ability.
However, recognizing jump motion intention promptly and accurately is a challenge. The …

[HTML][HTML] Detecting the speed change intention from EEG signals: From the offline and pseudo-online analysis to an online closed-loop validation

V Quiles, L Ferrero, E Iáñez, M Ortiz, JM Cano… - Applied Sciences, 2022 - mdpi.com
Control of assistive devices by voluntary user intention is an underdeveloped topic in the
Brain–Machine Interfaces (BMI) literature. In this work, a preliminary real-time BMI for the …

Time series shapelet-based movement intention detection toward asynchronous BCI for stroke rehabilitation

T Janyalikit, CA Ratanamahatana - IEEE Access, 2022 - ieeexplore.ieee.org
Brain computer interface (BCI) systems for neurorehabilitation have received increasing
attention over the past decade. These systems provide an alternative approach to restore …

Iteratively Calibratable Network for Reliable EEG-Based Robotic Arm Control

BH Lee, JH Cho, BH Kwon, M Lee… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Robotic arms are increasingly being utilized in shared workspaces, which necessitates the
accurate interpretation of human intentions for both efficiency and safety …

Preliminary study on real-time prediction of gait acceleration intention from volition-associated eeg patterns

SMS Hasan, JS Marquez, MR Siddiquee, DY Fei… - Ieee …, 2021 - ieeexplore.ieee.org
Volitional control of prosthetic devices can potentially provide the user with a more natural
movement experience. Currently, there is no feasible volitional triggering method to adapt …

State of the art of brain function detection technologies in robot-assisted lower limb rehabilitation

D Wang, Y Wu, H Yu - Brain Connectivity, 2024 - liebertpub.com
Background: With an aging population, the prevalence of neurological disorders is
increasing, leading to a rise in lower limb movement disorders and, in turn, a growing need …