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Publications associées (54)

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

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

Human-Swarm Interaction through Distributed Cooperative Gesture Recognition

The video presents the first results of a Swiss-funded project focusing on symbiotic peer-to-peer interaction and cooperation between humans and robot swarms. As a first step, we considered human-swarm interaction, and selected the use of hand gestures to ...

2012

Incremental Learning using Partial Feedback for Gesture-based Human-Swarm Interaction

In this paper we consider a human-swarm interaction scenario based on hand gestures. We study how the swarm can incrementally learn hand gestures through the interaction with a human instructor providing training gestures and correction feedback. The main ...

2012

Distributed consensus for interaction between humans and mobile robot swarms

The purpose of the demonstrator is to present a novel system for gesture-based interaction between humans and a swarm of mobile robots. The human interacts with the swarm by showing hand gestures using an orange glove. Following initial hand glove detectio ...

2012

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems Across Sensor Modalities

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha, Daniel Roggen

We propose a method to automatically translate a pre-existing activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T , possibly of different modality. First, we use MIMO system ...

2012

Natural Activation for Gesture Recognition Systems

Daniel Thalmann, Patrick Salamin, Frédéric Vexo, Mathieu Hopmann

Gesture recognition is becoming a popular way of interaction, but still suffers of important drawbacks to be integrated in everyday life devices. One of these drawbacks is the activation of the recognition system – trigger gesture - which is generally tiri ...

2011

Towards a Technology of Nonverbal Communication

Gelareh Mohammadi, Alessandro Vinciarelli

Nonverbal communication is the main channel through which we experience inner life of others, including their emotions, feelings, moods, social attitudes, etc. This attracts the interest of the computing community because nonverbal communication is based o ...

IGI-Global2010

Learning and reproduction of gestures by imitation: An approach based on Hidden Markov Model and Gaussian Mixture Regression

Aude Billard, Sylvain Calinon, Eric Sauser, Florent D'Halluin

We present a probabilistic approach to learn robust models of human motion through imitation. The association of Hidden Markov Model (HMM), Gaussian Mixture Regression (GMR) and dynamical systems allows us to extract redundancies across multiple demonstrat ...

Institute of Electrical and Electronics Engineers2010

A learning by imitation model handling multiple constraints and motion alternatives

Aude Billard, Sylvain Calinon, Eric Sauser, Florent D'Halluin

2010

Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Andrea Biasiucci, Daniel Roggen

Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human co ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA2010

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