211 results found
Mace M, Rinne P, Liardon J, et al., Comparison of flexible and rigid hand-grip control during a feed-forward visual tracking task, Rehabilitation Robotics (ICORR), 2015 IEEE International Conference on, ISSN: 1945-7901
Huang H-Y, Farkhatdinov I, Arami A, et al., 2017, Modelling Neuromuscular Function of SCI Patients in Balancing, 3rd International Conference on NeuroRehabilitation (ICNR), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 355-359, ISSN: 2195-3562
Mace M, Rinne P, Kinany N, et al., 2017, Collaborative Gaming to Enhance Patient Performance During Virtual Therapy, 3rd International Conference on NeuroRehabilitation (ICNR), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 375-379, ISSN: 2195-3562
Mace M, Rinne P, Liardon J-L, et al., 2017, Elasticity improves handgrip performance and user experience during visuomotor control, ROYAL SOCIETY OPEN SCIENCE, Vol: 4, ISSN: 2054-5703
Martin-Brevet S, Jarrasse N, Burdet E, et al., 2017, Taxonomy based analysis of force exchanges during object grasping and manipulation, PLOS ONE, Vol: 12, ISSN: 1932-6203
Melendez-Calderon A, Tan M, Bittmann MF, et al., 2017, Transfer of dynamic motor skills acquired during isometric training to free motion, JOURNAL OF NEUROPHYSIOLOGY, Vol: 118, Pages: 219-233, ISSN: 0022-3077
Ogrinc Ms M, Farkhatdinov PhD I, Walker Ms R, et al., 2017, Horseback riding therapy for a deafblind individual enabled by a haptic interface., Assist Technol, Pages: 1-8
We present a haptic interface to help deafblind people to practice horseback riding as a recreational and therapeutic activity. Horseback riding is a form of therapy which can improve self-esteem and sensation of independence. It has been shown to benefit people with various medical conditions-including autism. However, in the case of deafblind riders, an interpreter must stand by at all times to communicate with the rider by touch. We developed a simple interface that enables deafblind people to enjoy horseback riding while the instructor is remotely providing cues, which improves their independence. Experiments demonstrated that an autistic deafblind individual exhibits similar responses to navigational cues as an unimpaired rider. Motivation is an important factor in therapy, and is frequently determinant of its outcome; therefore, the user attitude toward the therapy methods is key. The answers to questionnaires filled by the rider, family, and the instructor show that our technique gives the rider a greater sense of independence and more joy compared to standard riding where the instructor is walking along with the horse.
Veneman JF, Burdet E, van der Kooij H, et al., 2017, EMERGING DIRECTIONS IN LOWER LIMB EXTERNALLY WEARABLE ROBOTS FOR GAIT REHABILITATION AND AUGMENTATION - A REVIEW, 19th International Conference series on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR), Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD, Pages: 840-850
Abdi E, Burdet E, Bouri M, et al., 2016, In a demanding task, three-handed manipulation is preferred to two-handed manipulation, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
Allievi AG, Arichi T, Tusor N, et al., 2016, Maturation of Sensori-Motor Functional Responses in the Preterm Brain, CEREBRAL CORTEX, Vol: 26, Pages: 402-413, ISSN: 1047-3211
Angeles P, Mace M, Admiraal M, et al., 2016, A Wearable Automated System to Quantify Parkinsonian Symptoms Enabling Closed Loop Deep Brain Stimulation, 17th Annual Conference on Towards Autonomous Robotic Systems (TAROS), Publisher: SPRINGER INT PUBLISHING AG, Pages: 8-19, ISSN: 0302-9743
Dzeladini F, Wu AR, Renjewski D, et al., 2016, Effects of a neuromuscular controller on a powered ankle exoskeleton during human walking, 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Publisher: IEEE, Pages: 617-622, ISSN: 2155-1782
Hussain A, Budhota A, Hughes' CML, et al., 2016, Self-Paced Reaching after Stroke: A Quantitative Assessment of Longitudinal and Directional Sensitivity Using the H-Man Planar Robot for Upper Limb Neurorehabilitation, FRONTIERS IN NEUROSCIENCE, Vol: 10, ISSN: 1662-453X
Jeanneret M, Bagnato C, Allievi AG, et al., 2016, A Versatile Robotic Haptic Stimulator to Study the Influence of Pain on Human Motor Control and Learning, 10th International Conference on Haptics - Perception, Devices, Control, and Applications (EuroHaptics), Publisher: SPRINGER INT PUBLISHING AG, Pages: 101-110, ISSN: 0302-9743
Kolossiatis M, Charalambous T, Burdet E, 2016, How Variability and Effort Determine Coordination at Large Forces, PLOS ONE, Vol: 11, ISSN: 1932-6203
Li Z, Yang C, Burdet E, 2016, An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol: 46, Pages: 869-874, ISSN: 2168-2216
Ogrinc M, Farkhatdinov I, Walker R, et al., 2016, Deaf-Blind Can Practise Horse Riding with the Help of Haptics, 10th International Conference on Haptics - Perception, Devices, Control, and Applications (EuroHaptics), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 452-461, ISSN: 0302-9743
Reinkensmeyer DJ, Burdet E, Casadio M, et al., 2016, Computational neurorehabilitation: modeling plasticity and learning to predict recovery, JOURNAL OF NEUROENGINEERING AND REHABILITATION, Vol: 13, ISSN: 1743-0003
Riillo F, Bagnato C, Allievi AG, et al., 2016, A Simple fMRI Compatible Robotic Stimulator to Study the Neural Mechanisms of Touch and Pain, ANNALS OF BIOMEDICAL ENGINEERING, Vol: 44, Pages: 2431-2441, ISSN: 0090-6964
Rinne P, Mace M, Nakornchai T, et al., 2016, Democratizing Neurorehabilitation: How Accessible are Low-Cost Mobile-Gaming Technologies for Self-Rehabilitation of Arm Disability in Stroke?, PLOS ONE, Vol: 11, ISSN: 1932-6203
Takagi A, Bagnato C, Burdet E, 2016, Facing the partner influences exchanges in force, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
Takagi A, Beckers N, Burdet E, 2016, Motion Plan Changes Predictably in Dyadic Reaching, PLOS ONE, Vol: 11, ISSN: 1932-6203
Tjahjowidodo T, Zhu K, Dailey W, et al., 2016, Multi-source micro-friction identification for a class of cable-driven robots with passive backbone, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, Vol: 80, Pages: 152-165, ISSN: 0888-3270
Wang C, Xiao Y, Burdet E, et al., 2016, The duration of reaching movement is longer than predicted by minimum variance, JOURNAL OF NEUROPHYSIOLOGY, Vol: 116, Pages: 2342-2345, ISSN: 0022-3077
Wilhelm E, Mace M, Takagi A, et al., 2016, Investigating Tactile Sensation in the Hand Using a Robot-Based Tactile Assessment Tool, 10th International Conference on Haptics - Perception, Devices, Control, and Applications (EuroHaptics), Publisher: SPRINGER INT PUBLISHING AG, Pages: 17-24, ISSN: 0302-9743
Wolf S, Grioli G, Eiberger O, et al., 2016, Variable Stiffness Actuators: Review on Design and Components, IEEE-ASME TRANSACTIONS ON MECHATRONICS, Vol: 21, Pages: 2418-2430, ISSN: 1083-4435
Abdi E, Burdet E, Bouri M, et al., 2015, Control of a Supernumerary Robotic Hand by Foot: An Experimental Study in Virtual Reality., PLOS One, Vol: 10, ISSN: 1932-6203
In the operational theater, the surgical team could highly benefit from a robotic supplementary hand under the surgeon's full control. The surgeon may so become more autonomous; this may reduce communication errors with the assistants and take over difficult tasks such as holding tools without tremor. In this paper, we therefore examine the possibility to control a third robotic hand with one foot's movements. Three experiments in virtual reality were designed to assess the feasibility of this control strategy, the learning curve of the subjects in different tasks and the coordination of foot movements with the two natural hands. Results show that the limbs are moved simultaneously, in parallel rather than serially. Participants' performance improved within a few minutes of practice without any specific difficulty to complete the tasks. Subjective assessment by the subjects indicated that controlling a third hand by foot has been easy and required only negligible physical and mental efforts. The sense of ownership was reported to improve through the experiments. The mental burden was not directly related to the level of motion required by a task, but depended on the type of activity and practice. The most difficult task was moving two hands and foot in opposite directions. These results suggest that a combination of practice and appropriate tasks can enhance the learning process for controlling a robotic hand by foot.
Bagnato C, Takagi A, Burdet E, 2015, Artificial Nociception and Motor Responses to Pain, for Humans and Robots, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE, Pages: 7402-7405, ISSN: 1557-170X
Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness has been computed mainly for discrete movements, in particular arm, reaching and circle drawing, using kinematic data. There are currently very few studies investigating smoothness of rhythmic movements, and there is no systematic way of analysing the smoothness of such movements. There is also very little work on the smoothness of other movement related variables such as force, impedance etc. In this context, this paper presents the first step towards a unified framework for the analysis of smoothness of arbitrary movements and using various data. It starts with a systematic definition of movement smoothness and the different factors that influence smoothness, followed by a review of existing methods for quantifying the smoothness of discrete movements. A method is then introduced to analyse the smoothness of rhythmic movements by generalising the techniques developed for discrete movements. We finally propose recommendations for analysing smoothness of any general sensorimotor behaviour.
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