| Document Date: 2011-11-25 08:16:01
Open Document File Size: 1,53 MBShare Result on Facebook
City Tokyo / Bayesian / / Company Wilson / Patwari / Chiyoda / TecO / / Country Germany / / Facility Karlsruhe Institute of Technology / National Institute of Informatics / / IndustryTerm carrier frequency / wireless connectivity / adapted simulation tools / tomographic imaging / pervasive computing / cellular networks / machine learning algorithms / inference algorithm / carrier frequency etc / wireless network / video based systems / radio tomographic imaging / measurement systems / wideband systems / wireless device / wireless sensor networks / carrier frequencies / wireless information transfer / metal object / wearable device / location systems / inverse-square law i.e. / localization algorithm / data mining tool1 / energy / / Organization WSN / Institute of Technology / National Institute of Informatics / / Position chair / model for the radio sensor / / ProgrammingLanguage ML / / Technology cellular telephone / three algorithms / machine learning algorithms / frequency hopping / wireless device / GPS / data mining / mobile phones / machine learning / Bayesian-based inference algorithm / Beigl technology / simulation / TDMA / localization algorithm / / URL http /
SocialTag |
Challenges for device-free radio-based activity recognition Markus Scholz1 , Stephan Sigg2 , Hedda R. Schmidtke1 , and Michael Beigl1 1 2