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Y. Ruffieux

dblp:03/3583 · DBLP profile ↗
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2ranked-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 · 2

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
1 paper
Haptics and multimodal interaction · 77% Health and well-being technologies · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
haptic interface
0.112006
A 2-DOF fMRI Compatible Haptic Interface to Investigate the Neural Control of Arm Movements · ICRA 2006
Health and well-being technologies › medical technology
neuroimaging
0.012006
A 2-DOF fMRI Compatible Haptic Interface to Investigate the Neural Control of Arm Movements · ICRA 2006

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

optical force sensors · 0.1hydrostatic transmission · 0.1
YearPublicationVenuePosition
2006 A 2-DOF fMRI Compatible Haptic Interface to Investigate the Neural Control of Arm Movements
abstract
This paper describes a two-degrees-of-freedom haptic interface to investigate the brain mechanisms of human motor control, which is capable of safely and gently interacting with human arm motion during functional magnetic resonance imaging (fMRI). A hydrostatic transmission separates the interface into a master and an MR compatible slave system, allowing the placement of all interfering components outside the electromagnetic shield of the MR room. The transmission mirrors force and motion of the master actuators on the slave system placed close to the MR scanner. The parallel architecture takes advantage of the linear MR compatible actuators and allows human subjects to perform reaching movements comfortably in the small workspace limited by the dimensions of the MR scanner and the biomechanics of the arm. The kinematic structure of the slave interface was optimized with respect to the available space and types of movements to be investigated. Materials were chosen based on their MR compatibility, their stiffness and weight. The interaction force with the subject is measured over two optical force sensors, located close to the output of the interface. Two shielded optoelectronic encoders measure the extension of the slave hydraulic pistons. Detailed tests demonstrated the fMRI compatibility even during movement of the interface
Roger Gassert, Ludovic Dovat, Olivier Lambercy, Y. Ruffieux, Dominique Chapuis, Ganesh Gowrishankar, Etienne Burdet, Hannes Bleuler
ICRA4
2006 A Haptic Knob for Rehabilitation of Stroke Patients
abstract
The strong impairment of motor functions in stroke survivors affects daily activities such as eating, manipulating objects or writing. Our goal is to induce long lasting improvements in such tasks by having patients perform systematic exercises using haptic interfaces. This paper describes a novel two-degrees-of-freedom interface which we have developed to help stroke patients gradually recover the ability to open and close the hand and manipulate knobs. Different solutions are studied and a design consisting of two parallelogram structures interacting with the fingers is proposed. The mechanical design offers the possibility to adapt the interface to various hand sizes and finger orientations, and to right or left-handed subjects. Design kinematics as well as actuation and system control are described. Several knobs are proposed to interact with patients, especially a cone mechanism to train a complete opening movement from a strongly contracted and closed hand to a large opened position. The interaction force with the subject is measured over four force sensors located close to the output of the interface. A preliminary study has been performed to evaluate the performances of the haptic interface
Ludovic Dovat, Olivier Lambercy, Y. Ruffieux, Dominique Chapuis, Roger Gassert, Hannes Bleuler, Chee Leong Teo, Etienne Burdet
IROS3