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, Marco Creatura, Jose Millan

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

367 Citations (Scopus)

Abstract

We deployed 72 sensors of 10 modalities in 15 wireless and wired networked sensor systems in the environment, in objects, and on the body to create a sensor-rich environment for the machine recognition of human activities. We acquired data from 12 subjects performing morning activities, yielding over 25 hours of sensor data. We report the number of activity occurrences observed during post-processing, and estimate that over 13000 and 14000 object and environment interactions occurred. We describe the networked sensor setup and the methodology for data acquisition, synchronization and curation. We report on the challenges and outline lessons learned and best practice for similar large scale deployments of heterogeneous networked sensor systems. We evaluate data acquisition quality for on-body and object integrated wireless sensors; there is less than 2.5% packet loss after tuning. We outline our use of the dataset to develop new sensor network self-organization principles and machine learning techniques for activity recognition in opportunistic sensor configurations. Eventually this dataset will be made public.

Original languageEnglish
Title of host publicationINSS 2010 - 7th International Conference on Networked Sensing Systems
PublisherIEEE
Pages233-240
Number of pages8
ISBN (Print)9781424479108
DOIs
Publication statusPublished - 2010
Event7th International Conference on Networked Sensing Systems, INSS 2010 - Kassel, Germany
Duration: 15 Jun 201018 Jun 2010

Publication series

NameINSS 2010 - 7th International Conference on Networked Sensing Systems

Conference

Conference7th International Conference on Networked Sensing Systems, INSS 2010
Country/TerritoryGermany
CityKassel
Period15.06.201018.06.2010

Keywords

  • Activity recognition dataset
  • Human behavior recognition
  • Machine learning
  • Pattern classification
  • Ubiquitous computing
  • Wearable computing

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