Results 41 to 50 of about 6,552 (226)

Home-based physical therapy with an interactive computer vision system [PDF]

, 2019
In this paper, we present ExerciseCheck. ExerciseCheck is an interactive computer vision system that is sufficiently modular to work with different sources of human pose estimates, i.e., estimates from deep or traditional models that interpret RGB or ...
Betke, Margrit, Ellis, Terry, Gu, Yiwen, Nordahl, Timothy, Pandit, Shreya, Saraee, Elham   +5 more
core   +1 more source

Hybrid brain-computer interface and functional electrical stimulation for sensorimotor training in participants with tetraplegia: a proof-of-concept study [PDF]

, 2015
Background and Purpose: Impaired hand function decreases quality of life in persons with tetraplegia. We tested functional electrical stimulation (FES) controlled by a hybrid brain-computer interface (BCI) for improving hand function in participants with
Aguilar, Alham Al-Sharman A, Siengsukon, Barsi, Benjamini, Brunner, Bunge, Cramer, Daly, Delorme, Dobkin, Fawcett, Grangeon, Green, Grosse-Wentrup, Gustin, Jarosiewicz, Jurkiewicz, Kokotilo, Lundell, Malouin, Marino, Mrachacz-Kersting, Mulder, Muller, Nardone, Pfurtscheller, Pfurtscheller, Rosen, Tam, Tran, Vuckovic, Waring, Waxman, Wolpaw, Wolpaw, Wrigley, Wrigley   +36 more
core   +1 more source

Industrial training: challenges among students in construction industry [PDF]

, 2022
Industrial training is structured learning off -campus and gives students the opportunity to gain experience in a professional field before they step into the real world of work. This study was conducted to find out the extent of the challenges faced
Mohamad, Mimi Mohaffyza, Unadam, Faridatul Asma   +1 more
core   +1 more source

Real-time Hybrid Locomotion Mode Recognition for Lower-limb Wearable Robots [PDF]

, 2017
Real-time recognition of locomotion-related activities is a fundamental skill that the controller of lower-limb wearable robots should possess. Subject-specific training and reliance on electromyographic interfaces are the main limitations of existing ...
Crea, Simona, Lova, Raffaele Molino, Marconi, Dario, Munih, Marko, Parri, Andrea, Vitiello, Nicola, Wang, Qining, Yan, Tingfang, Yuan, Kebin   +8 more
core   +1 more source

Combining FES and Exoskeletons in a Hybrid Haptic System for Enhancing VR Experience

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Robotic technology and functional electrical stimulation (FES) have emerged as highly effective rehabilitative techniques for individuals with neuromuscular diseases, showcasting their ability to restore motor functions.
L. Buatier de Mongeot, E. Galofaro, F. Ramadan, E. D'Antonio, F. Missiroli, N. Lotti, M. Casadio, L. Masia   +7 more
doaj   +1 more source

A functional electrical stimulation system for human walking inspired by reflexive control principles [PDF]

, 2017
This study presents an innovative multichannel functional electrical stimulation gait-assist system which employs a well-established purely reflexive control algorithm, previously tested in a series of bipedal walking robots.
Gollee, Henrik, Macleod, Catherine A., Meng, Lin, Porr, Bernd   +3 more
core   +1 more source

Electrical stimulation in upper limb assistance: opportunities and challenges

Frontiers in Neuroscience
The global rise in non-communicable diseases, alongside an aging population, is expected to increase the prevalence of motor impairments and, therefore, the need for assistive care.
Nathan Routledge, Nathan Routledge, Nathan Routledge, Dingguo Zhang, Dingguo Zhang, Dingguo Zhang, Benjamin Metcalfe, Benjamin Metcalfe, Benjamin Metcalfe   +8 more
doaj   +1 more source

Nanodiamond Quantum Sensors for Probing Free Radical Biology

Advanced Functional Materials, EarlyView.
Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley   +1 more source

Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb [PDF]

, 2013
In this work we explore the use of reinforcement learning (RL) to help with human decision making, combining state-of-the-art RL algorithms with an application to prosthetics. Managing human-machine interaction is a problem of considerable scope, and the
Dawson, Michael Rory, Edwards, Ann L., Kearney, Alexandra, Pilarski, Patrick M., Sutton, Richard S.   +4 more
core   +1 more source

Reshaping of Gait Coordination by Robotic Intervention in Myelopathy Patients After Surgery [PDF]

, 2018
journal ...
ABE Tetsuya, KADONE Hideki, Kubota Shigeki, MARUSHIMA Aiki, PUENTES Sandra, SANKAI Yoshiyuki, Shimizu Yukiyo, SUZUKI Kenji, YAMAZAKI Masashi   +8 more
core   +2 more sources