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Javier Sánchez-Lacuesta

dblp:07/4240 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 55% Accessibility and assistive technology · 29% Health and well-being technologies · 16%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › wearable robot
exoskeleton
0.122006
On the Use of an Active Wearable Exoskeleton for Tremor Suppression via Biomechanical Loading · ICRA 2006
Rehabilitation Robotics: a Wearable Exo-Skeleton for Tremor Assessment and Suppression · ICRA 2005
Accessibility and assistive technology › assistive technology
tremor suppression
0.112006
On the Use of an Active Wearable Exoskeleton for Tremor Suppression via Biomechanical Loading · ICRA 2006
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.022006
On the Use of an Active Wearable Exoskeleton for Tremor Suppression via Biomechanical Loading · ICRA 2006
Rehabilitation Robotics: a Wearable Exo-Skeleton for Tremor Assessment and Suppression · ICRA 2005

Methods — techniques the papers use, named apart from their topics

biomechanical loading · 0.1viscous loading control · 0.1notch filtering · 0.1non-grounded control strategies · 0.1
YearPublicationVenuePosition
2006 On the Use of an Active Wearable Exoskeleton for Tremor Suppression via Biomechanical Loading
abstract
Biomechanical loading, in particular, viscous loading of the upper limb has been proposed in the literature as a means for suppressing pathologic tremor. It is expected that an improvement on manipulative function can be obtained by reducing the tremorous motion associated to some neurological disorders. This article presents two non-grounded control strategies to suppress tremor by means of a orthotic (wearable) exoskeleton. These two strategies are based on biomechanical loading and notch filtering of tremor via internal forces. Both controls strategies are evaluated and validated on the robotic exoskeleton called WOTAS (wearable orthosis for tremor assessment and suppression). At the end, results obtained in the pre-clinical trials and conclusions of this study are presented
Eduardo Rocon de Lima, Andrés Felipe Ruiz Olaya, Fernando J. Brunetti, José Luis Pons Rovira, José M. Belda-Lois, Javier Sánchez-Lacuesta
ICRA6
2005 Rehabilitation Robotics: a Wearable Exo-Skeleton for Tremor Assessment and Suppression
abstract
There is a need for wearable powered upper limb exoskeletons able to apply forces to the upper limb for use by people with disabilities and/or limb weakness or injury. The robotic exoskeleton called WOTAS (Wearable Orthosis for Tremor Assessment and Suppression) presented in this paper will provide a means of testing non-grounded control strategies in order to help these people. For instance, biomechanical loading, in particular, viscous loading of the upper limb has been proposed in the literature as a means for suppressing pathologic tremor. This article describes in detail the general concept for WOTAS, outlining the special features of the design and selection of system components.
Eduardo Rocon de Lima, Andrés Felipe Ruiz Olaya, José Luis Pons Rovira, José M. Belda-Lois, Javier Sánchez-Lacuesta
ICRA5
2004 IPCA: Adaptive Interfaces Based upon Biofeedback Sensors
Carlos A. Velasco, Yehya Mohamad, Dirk Stegemann, Henrike Gappa, Gabriele Nordbrock, Erwin Hartsuiker, Javier Sánchez-Lacuesta, Juan Manuel Belda
ICCHP7