TY  - CONF
ID  - mattmann07
T1  - Recognizing Upper Body Postures using Textile Strain Sensors
A1  - Mattmann, Corinne
A1  - Amft, Oliver
A1  - Harms, Holger
A1  - Clemens, Frank
A1  - Tröster, Gerhard
TI  - Proc. 11th International Symposium on Wearable Computers (ISWC07)
Y1  - 2007
SP  - 29
EP  - 36
CY  - Boston
N1  - Recipient of the IEEE ISWC 2007 Best Paper Award.
M2  - doi: 10.1109/iswc.2007.4373773
N2  - 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.
ER  -