• Media type: Text; Doctoral Thesis; Electronic Thesis; E-Book
  • Title: Device-Free, Radio-based Activity Recognition using Smart Home Wireless Communication Technologies
  • Contributor: Scholz, Markus [Author]
  • Published: KIT-Bibliothek, Karlsruhe, 2015-01-01
  • Language: English
  • DOI: https://doi.org/10.5445/IR/1000051304
  • Keywords: radio ; activity ; DATA processing & computer science ; RSS ; device-free ; recognition
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: This dissertation demonstrates the use of received signal strength to infer human activities. It has the following contributions: 1) Reference design of a device-free, 2.4GHz IEEE 802.15.4-based sensor system for Activity Recognition; 2) Fundamental description of influences affecting Activity Recognition performance; 3) Software design pattern for device-free, radio-based Inference Systems; 4) Development and characterization of three specialized device-free, radio-based Inference Systems
  • Access State: Open Access