Annotating Sensor Data to Identify Activities of Daily Living

  • Mark Donnelly
  • Tommaso Magherini
  • Chris Nugent
  • Federico Cruciani
  • Cristiano Paggetti
Conference paper

DOI: 10.1007/978-3-642-21535-3_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6719)
Cite this paper as:
Donnelly M., Magherini T., Nugent C., Cruciani F., Paggetti C. (2011) Annotating Sensor Data to Identify Activities of Daily Living. In: Abdulrazak B., Giroux S., Bouchard B., Pigot H., Mokhtari M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes in Computer Science, vol 6719. Springer, Berlin, Heidelberg

Abstract

DANTE is an application, which supports the annotation of ADLs captured using a pair of stereo cameras. DANTE is able to interpret the position and orientation of any object that is tagged with a special marker. Offline, users navigate frame-by-frame through captured scenes to annotate onset/completion of object interactions. The main utility is supporting the development of large annotated datasets, which is essential for the development and evaluation of context-aware models to interpret and monitor occupant behaviour within smart environments. DANTE only records scenes during which ‘tagged’ objects are interacted with therefore significantly reducing the amount of redundant footage recorded. The current study has extended the concepts of DANTE and has used it to support the annotation of additional sensor platforms. Results demonstrated both the capability of DANTE to support annotation of other platforms along with reducing the amount of time previously required to manually annotate such data by more than 45%.

Keywords

Data Acquisition Multi sensor systems Video Recording Optical Tracking Data Annotation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mark Donnelly
    • 1
  • Tommaso Magherini
    • 1
  • Chris Nugent
    • 1
  • Federico Cruciani
    • 2
  • Cristiano Paggetti
    • 2
  1. 1.Computer Science Research InstituteUniversity of UlsterNewtownabbeyNorthern Ireland
  2. 2.I+ s.r.l.FlorenceItaly

Personalised recommendations