| Publication Type |
Conference Paper |
| Authors |
Corinne Mattmann, Oliver Amft, Holger Harms, Gerhard Tröster, Frank Clemens |
| Title |
Recognizing Upper Body Postures using Textile Strain Sensors |
| 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. |
| Date |
October 2007 |
| Proceedings Title |
ISWC 2007: Proceedings of the 11th IEEE International Symposium on Wearable Computers |
| Publisher |
IEEE |
| Pages |
29–36 |
| DOI |
10.1109/ISWC.2007.4373773 |
| Extra |
Recipient of the IEEE ISWC 2007 Best Paper Award. |
| Full Text |
PDF |
