Project summary
Abstract
In this project, we want to formalize a new methodology to understand human movements and whole-body gestures for interactive applications with new computational and psychological measures as well as new software tools to compute those measures automatically. Our goal is to empower the scientific community with relevant software tools for gesture analysis, which we expect to foster new developments in whole-body gesture interfaces for interactive applications.
Concrete objectives
Team
The team includes experienced researchers and PhD students in Human-Computer Interaction, Software Engineering, and Psychology.
Research activities are conducted in the Machine Intelligence and Information Visualization Research Laboratory of the MANSiD Research Center (Romania) and the Louvain Interaction Laboratory (Belgium).
Publications
Media
Resources
Project resources (software and datasets) will be available in this section soon.
Project no.: 101BM/2017 | |
Principal Investigators: Radu-Daniel Vatavu (University of Suceava, Romania) and Jean Vanderdonckt (Université catholique de Louvain, Belgium) | |
Funded by UEFISCDI, Romania and Wallonie-Bruxelles International, Belgium | |
Running period: January 2017 - December 2018 (24 months) |
Abstract
In this project, we want to formalize a new methodology to understand human movements and whole-body gestures for interactive applications with new computational and psychological measures as well as new software tools to compute those measures automatically. Our goal is to empower the scientific community with relevant software tools for gesture analysis, which we expect to foster new developments in whole-body gesture interfaces for interactive applications.
Concrete objectives
- Define a global ontology for whole-body gestures by considering several levels of abstraction and characterization with three dimensions: conative, cognitive, and computational.
- Design new measures to characterize human movement and interactive whole-body gestures.
- Develop software tools to automatically compute our set of measures from raw sensor data.
- Validate our measures and associated software tools for specific interactive scenarios
Team
The team includes experienced researchers and PhD students in Human-Computer Interaction, Software Engineering, and Psychology.
University of Suceava, Romania | Université catholique de Louvain, Belgium |
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Publications
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Media
Resources
Project resources (software and datasets) will be available in this section soon.