Zobrazeno 1 - 10
of 1 332
pro vyhledávání: '"haptic rendering"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-28 (2024)
Abstract Introduction There is currently a lack of easy-to-use and effective robotic devices for upper-limb rehabilitation after stroke. Importantly, most current systems lack the provision of somatosensory information that is congruent with the virt
Externí odkaz:
https://doaj.org/article/4d2bcd80427d43ecbc6dabfd71cb1bdb
Publikováno v:
IEEE Access, Vol 12, Pp 141198-141210 (2024)
We study low-cost modeling and haptic rendering methods for deformable objects in model-mediated teleoperation (MMT). An accurate local model is key to achieve good perceived realism in MMT. Depending on the materials of the objects with which the ha
Externí odkaz:
https://doaj.org/article/2c0e50241f814171a28dbf50af516c6d
Autor:
Keisuke Tozuka, Hiroshi Igarashi
Publikováno v:
IEEE Access, Vol 12, Pp 59868-59879 (2024)
In this paper, a method for creating texture models with physical significance using a parametric equalizer (PEQ)-based approach is presented. The model is based on the frequency, amplitude, bandwidth, and noise ratio corresponding to texture profile
Externí odkaz:
https://doaj.org/article/66028dbd5523463cba980cc87251a5af
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
In current virtual reality settings for motor skill training, only visual information is usually provided regarding the virtual objects the trainee interacts with. However, information gathered through cutaneous (tactile feedback) and muscle mechanor
Externí odkaz:
https://doaj.org/article/abd9e9604e9444139ab4d11c6f3951f3
Autor:
Raphael Rätz, Alexandre L. Ratschat, Nerea Cividanes-Garcia, Gerard M. Ribbers, Laura Marchal-Crespo
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
In stroke rehabilitation, simple robotic devices hold the potential to increase the training dosage in group therapies and to enable continued therapy at home after hospital discharge. However, we identified a lack of portable and cost-effective devi
Externí odkaz:
https://doaj.org/article/beed543f550845f3b12e31fbfff5d1e5
Autor:
Matthew R. Short, Daniel Ludvig, Emek Baris Kucuktabak, Yue Wen, Lorenzo Vianello, Eric J. Perreault, Levi Hargrove, Kevin Lynch, Jose L. Pons
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3864-3873 (2023)
While treating sensorimotor impairments, a therapist may provide physical assistance by guiding their patient’s limb to teach a desired movement. In this scenario, a key aspect is the compliance of the interaction, as the therapist can provide subt
Externí odkaz:
https://doaj.org/article/a730696e97e7484786f4ee4e230755c3
Autor:
Sangjoon J. Kim, Yue Wen, Daniel Ludvig, Emek Baris Kucuktabak, Matthew R. Short, Kevin Lynch, Levi Hargrove, Eric J. Perreault, Jose L. Pons
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 416-425 (2023)
Optimizing skill acquisition during novel motor tasks and regaining lost motor functions have been the interest of many researchers over the past few decades. One approach shown to accelerate motor learning involves haptically coupling two individual
Externí odkaz:
https://doaj.org/article/eafa78c031ab4f44b30e8b30ed159f48
Akademický článek
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Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-18 (2022)
Abstract Background Current robot-aided training allows for high-intensity training but might hamper the transfer of learned skills to real daily tasks. Many of these tasks, e.g., carrying a cup of coffee, require manipulating objects with complex dy
Externí odkaz:
https://doaj.org/article/afe9ae7b7f89425585e78e1f391c9112
Publikováno v:
IEEE Access, Vol 10, Pp 107269-107282 (2022)
The use of intraoperative tool-tissue interaction data for arthroscopic digital twins has the potential to enhance haptic feedback in surgical simulations. This study demonstrates the implementation of an interpolation-based method, and a Kalman filt
Externí odkaz:
https://doaj.org/article/4176a8423ef5444ab760fdc9e126f37f