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Iterative Design and Evaluation of a Tangible Robot-Assisted Handwriting Activity for Special Education

Publications associées (32)

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Learning by Teaching a Robot: The Case of Handwriting

Pierre Dillenbourg, Séverin Lemaignan, Alexis David Jacq, Fernando Garcia, Deanna Hood, Ana Paiva

Robots for education are not limited to support ICT teaching, and they are indeed finding new roles in the classroom. This article reports on such a new paradigm for educative robots, that involves learning by teaching and strong social engagement to help ...

Ieee-Inst Electrical Electronics Engineers Inc2016

The present invention relates to a facial rehabilitative device based on Robogami (Robotic Origami) platform. The device facilitates the process of the physical therapy for the therapist, to make this process more disciplined, and to enhance the result for ...

2015

Stroke, or cerebral-vascular accident is the leading cause of disabilities in the western world. It primarily affects mobility due to a degradation of principal motor functions such as balance and gait. This reduction of mobility directly impacts the spect ...

EPFL2015

Bidirectional Learning of Handwriting Skill in Human-Robot Interaction

Aude Billard, Hang Yin, Ana Paiva

This paper describes the design of a robot agent and associated learning algorithms to help children in handwriting acquisition. The main issue lies in how to program a robot to obtain human-like handwriting and then exploit it to teach children. We propos ...

2015

Interactive Learning from Unlabeled Instructions

Inaki Asier Iturrate Gil

Interactive learning deals with the problem of learning and solving tasks using human instructions. It is common in human-robot interaction, tutoring systems, and in human-computer interfaces such as brain-computer ones. In most cases, learning these tasks ...

2014

Errare machinale est: The use of error-related potentials in brain-machine interfaces

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Aleksander Sobolewski

The ability to recognize errors is crucial for efficient behavior. Numerous studies have identified electrophysiological correlates of error recognition in the human brain (error-related potentials, ErrPs). Consequently, it has been proposed to use these s ...

Frontiers Research Foundation2014

MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support

Silvestro Micera, Andrea Crema, Claudia Casellato

Background: MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand functions. It aims at achieving personalization, modularity and maximization of the user's direct inv ...

Biomed Central Ltd2013

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Hesam Sagha

Nowadays, many systems rely on fusing different sources of information to recognize human activities and gestures, speech, or brain activities for applications in areas such as clinical practice, and health care and Human Computer Interaction (HCI). Typica ...

EPFL2013

Interdisciplinary Design of an Assistive Product for Personal Mobility with the use of an Expanded Model of Axiomatic Design

This article presents a model for product design in an interdisciplinary way with participation of the university, private company and the user. The proposal was implemented in the design of an assistive product for mobility according to the ISO9999: 2007 ...

2012

Tracking Motor Improvement at the Subtask Level During Robot-Aided Neurorehabilitation of Stroke Patients

Silvestro Micera, Roberto Colombo

Background. Robot-aided neurorehabilitation can provide intensive, repetitious training to improve upper-limb function after stroke. To be more effective, motor therapy ought to be progressive and continuously challenge the patient's ability. Current robot ...

Sage Publications Inc2012