G
Gerald Pirkl
Researcher at German Research Centre for Artificial Intelligence
Publications - 27
Citations - 1304
Gerald Pirkl is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Activity recognition & Wearable computer. The author has an hindex of 13, co-authored 27 publications receiving 1089 citations. Previous affiliations of Gerald Pirkl include University of Passau & Kaiserslautern University of Technology.
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Proceedings ArticleDOI
Collecting complex activity datasets in highly rich networked sensor environments
Daniel Roggen,Alberto Calatroni,Mirco Rossi,Thomas Holleczek,Kilian Förster,Gerhard Tröster,Paul Lukowicz,David Bannach,Gerald Pirkl,Alois Ferscha,Jakob Doppler,Clemens Holzmann,Marc Kurz,Gerald Holl,Ricardo Chavarriaga,Hesam Sagha,Hamidreza Bayati,Marco Creatura,José del R. Millán +18 more
TL;DR: The networked sensor setup and the methodology for data acquisition, synchronization and curation, and the use of the dataset to develop new sensor network self-organization principles and machine learning techniques for activity recognition in opportunistic sensor configurations are described.
Proceedings ArticleDOI
OPPORTUNITY: Towards opportunistic activity and context recognition systems
Daniel Roggen,Kilian Förster,Alberto Calatroni,Thomas Holleczek,Yu Fang,Gerhard Tröster,Alois Ferscha,Clemens Holzmann,Andreas Riener,Paul Lukowicz,Gerald Pirkl,David Bannach,Kai Kunze,Ricardo Chavarriaga,José del R. Millán +14 more
TL;DR: The newly started European research project OPPORTUNITY is introduced within which mobile opportunistic activity and context recognition systems are developed within which the approach is followed along opportunistic sensing, data processing and interpretation, and autonomous adaptation and evolution to environmental and user changes.
Proceedings ArticleDOI
Monitoring household activities and user location with a cheap, unobtrusive thermal sensor array
TL;DR: It is demonstrated that a cheap (30USD) small, low power 8x8 thermal sensor array can by itself provide a broad range of information relevant for human activity monitoring in home and office environments.
Proceedings ArticleDOI
Towards wearable sensing-based assessment of fluid intake
TL;DR: Two key components of an unobtrusive, wearable solution that is independent of a particular drinking container or environment are investigated.
Proceedings ArticleDOI
Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton
TL;DR: Modulated magnetic field technology that is well established in high precision, stationary motion tracking systems can be adapted to wearable activity recognition for tracking the relative position and orientation of body parts.