Wearable and Self-Aware Machine Learning System for Online Cognitive Workload Monitoring and Drone Control
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We review a representative selection of systems that support the management of collaborative learning interaction, and characterize them within a simple classification framework. The framework distinguishes between mirroring systems, which display basic ac ...
This paper studies the effect of a robot’s design (appearance) in facilitating and encouraging interaction of children with autism with a small humanoid robot. The paper compares the children’s level of interaction with and response to the robot in two dif ...
This paper develops the concept of mediators: virtual interfaces with haptic feedback for teleoperation. Our approach is to replace physical operator interfaces by fully parameterizable adaptive virtual interfaces. Mediators open new possibilities for mult ...
The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP ...
The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP ...
In this paper, we introduce probabilistic framework for robust identification of the user goals in human-robot speech-based interaction. The concept of Bayesian networks is used for interpreting multimodal signals in the spoken dialogue between a tour-guid ...
This paper considers design methodologies in order to develop voice-enabled interfaces for tour-guide robots deployed at the Robotics Exposition of the Swiss National Exhibition (Expo.02). Human–robot voice communication presents new challenges for design ...
In this paper we will regard the task of operating a public mass exposition with several autonomous robots at a time. This implies questions regarding human-robot interaction, multi-robot control and interaction management. To enable human-robot interactio ...
In this paper we motivate the need for on-line learning in BCI and illustrate its benefits with the simplest method, namely fixed learning rates. However, the use of this method is supported by the risk of hampering the user to acquire suitable control of ...
In this paper we address the problem of inter-preting sensory data for human-robot interaction, especially when gathered from several robots at the same time. After describing motion tracking in this context, we introduce a general framework for situation ...
