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The Role of Speech in Multimodal Human-Computer Interaction (Towards Reliable Rejection of Non-Keyword Input)

Publications associées (58)

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Endogenous Control of Powered Lower-Limb Exoskeleton

José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu

We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three d ...

Springer Int Publishing Ag2017

Social Interface and Interaction Design for Group Recommender Systems

Yu Chen

Group recommender systems suggest items of interest to a group of people. Traditionally, group recommenders provide recommendations by aggregation the group membersâ preferences. Nowadays, there is a trend of decentralized group recommendation process th ...

EPFL2015

Modeling Users' Information Needs in a Document Recommender for Meetings

Maryam Habibi

People are surrounded by an unprecedented wealth of information. Access to it depends on the availability of suitable search engines, but even when these are available, people often do not initiate a search, because their current activity does not allow th ...

EPFL2015

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

ROCKIT: Roadmap for Conversational Interaction Technologies

Hervé Bourlard, Philip Neil Garner, Andrei Popescu-Belis, Steve Renals

ROCKIT is a strategic roadmapping action in the area of multimodal conversational interaction technologies funded as a support action by the EU during 2014 and 2015. We envisage a future in which human-human, human-machine, and human-environment communicat ...

ACM2014

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

VideoKheti: Making Video Content Accessible to Low-Literate and Novice Users

Sébastien Cuendet

Designing ICT systems for rural users in the developing world is difficult for a variety of reasons ranging from problems with infrastructure to financial constraints. But beyond these difficulties, there are serious challenges associated with the potentia ...

2013

Inferring social activities with mobile sensor networks

Daniel Gatica-Perez

While our daily activities usually involve interactions with others, the state-of-the-art methods on activity recognition do not exploit the relationship between social interactions and human activity. This paper addresses the problem of interpreting socia ...

2013

The human in the loop

Aude Billard

In classical man-machine interfaces applied to rehabilitation, the primary goal is to control the (bio)mechanical interaction between the human and the machine or environment. However, integrating the human into the loop can be considered not only from a b ...

Springer London2012

Remote-evaluation of user interaction with WebGIS

François Golay, Jens Ingensand

In this paper we propose a framework that characterizes user interaction with webGIS. Furthermore we present a technique to remotely test and evaluate such systems. Our framework does not only include parameters describing the usability of a system, but re ...

Springer-Verlag2011