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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 …
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …
Libet's legacy: A primer to the neuroscience of volition
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 …
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
Fast and accurate human intention prediction can significantly advance the performance of
assistive devices for patients with limited motor or communication abilities. Among available …
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 …
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
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 …
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
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 …
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 …
attention over the past decade. These systems provide an alternative approach to restore …
Iteratively Calibratable Network for Reliable EEG-Based Robotic Arm Control
Robotic arms are increasingly being utilized in shared workspaces, which necessitates the
accurate interpretation of human intentions for both efficiency and safety …
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
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 …
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 …
increasing, leading to a rise in lower limb movement disorders and, in turn, a growing need …