%Aigaion2 BibTeX export from IfE Document Management System
%Monday 21 May 2012 10:16:33 AM

@INPROCEEDINGS{mattmann07,
     author = {Mattmann, Corinne and Amft, Oliver and Harms, Holger and Clemens, Frank and Tr{\"{o}}ster, Gerhard},
      month = {0},
      title = {Recognizing Upper Body Postures using Textile Strain Sensors},
  booktitle = {Proc. 11th International Symposium on Wearable Computers (ISWC07)},
       year = {2007},
      pages = {29--36},
   location = {Boston},
       note = {Recipient of the IEEE ISWC 2007 Best Paper Award.},
        doi = {10.1109/iswc.2007.4373773},
   abstract = {In this paper we present a garment prototype using strain sensors to recognize upper body postures. A novel thermoplastic elastomer strain sensor was used for measuring strain in the clothing. This sensor has a linear resistance response to strain, a small hysteresis and can be fully integrated into textile.
A study was conducted with eight participants wearing the garment and performing a total of 27 upper body postures. A Naive Bayes classification was applied to identify the different postures. Nearly a complete recognition rate of 97\% was achieved when the classification was adapted to the individual participant. A classification rate of 84\% was achieved for an all-user classification and 65\% for an independent user. These results show the feasibility to recognize postures with our setup, even in an unseen user setting.
Furthermore, we used the garment prototype in a gym
experiment to explore its potential for rehabilitation and fitness training. Intensity, speed and number of repetitions could be obtained from the garment sensor data.}
}