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Innovative Application Development for Ubiquitous and Wearable Computing

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66 Chapter 5.  General Concepts, Toolkits, and Frameworks audio. Inertial sensors placed On Object and On Human can be used to sense typical movements, e.g. perceiving the signature at a pen, for identification. [ Scheirer et al.   1999 ] reports about using vision, [ Kern  et al. 2002 ] about using audio worn On Human  for people identification.  Location systems [ Hightower and Borriello 2001 ] can also be used for identifying people at di erent locations.  As these systems require both sensors worn by human and installed base stations those system appear in the Mutual Collaboration column.Table 5.1: Placement vs. Dimension For  detecting  object use  load-cells [ Schmidt  et al. 2002 ] have  been  proven  useful installed  both  In Environment  and  On Object.   Object  classification  with  vision is  well  established  in  static  settings,  whereas  occlusion  during  dynamic  use  can be challenging.  Audio is another option, if the object use generates characteristic sounds.  The use of inertial force sensors placed On Object has been successfully used [ Hickley et al. 2000 ] [ Schmidt et al. 1999 ] [ Rekimoto 1996 ] [ Harrison et al. 1998 ] for object use.  Obviously, motion during Object Use can be also sensed On Human but with less quality.  Audio On Human is also possible [ Lukowicz et al. 2002 ] but is an indirect measurement compared to On Object placement.  Location systems can give hints as well for Object Use, e.g.  teleporting X Windows to user’s current location [ Richardson et al. 1994 ] . Location  is the most explored sensing dimension in ubiquitous computing.  Load- cells [ Schmidt et al. 2002 ] ,  vision [ Brumitt et al. 2000 ] and audio [ Darrell et al.
  
Ubiquitous Computing - Auswirkungen auf Unternehmen und Gesellschaft
von Alexander Beck,
Jörg Denkel
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