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see more details March 18, 2013Best student oral presentation to
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Influence of Mechanical Strain on Flexible IGZO-Based Ferroelectric Memory TFTs
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Contact: Corinne Mattmann Project Start: June 2004 Project End: September 2008 Dissertation No.: 17982
Objectives
We would like to determine body postures by using a tight-fitting garment that measures elongations in the textile. Different postures cause characteristic elongation patterns in the garment which enables us to conclude back on the actual posture of the wearer. Possible applications of such a clothing are in the field of prevention of back pain, in sports (personal trainer) or in rehabilitation. The advantages of such an approach compared to other posture measurement systems are the portability of the system and that a textile integration is possible.
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 Visualization of the Strain
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Achievements
- Reference Measurements:
Reference measurements were done with an optical motion tracking system to get an insight into textile deformations during different body postures. Very clear elongation patterns could be measured. For further information see publication "A Method to Measure Elongations of Clothing".
- Strain Sensor:
Different elastic and conductive materials were tested for their sensor properties. Most of them turned out to be unsuitable as a strain sensor. We are now using a sensor from EMPA, Switzerland which has very good sensor properties (large measurement range, small hysteresis, very linear, no ageing). It consists of a thermoplastic elastomer (TPE) and is filled with carbon black. Its thread-like form opens the possibility to fully integrate it into the textile. For further information see publication "Recognizing Upper Body Postures using Textile Strain Sensors".
- Prototype:
Different prototypes were built:
- The sensors were integrated into a catsuit so that as accurate measurements as possible could be performed.
- A jacket was built (see figure) which is not as tight-fitting as the catsuit (less accurate) but has completely textile integrated sensors and connections. The strain in the jacket can be visualized online.
- Classification:
8 subjects performed 27 upper body postures wearing the catsuit prototype. Using a Bayes classifier and a user-dependant training, a recognition rate of 97% could be achieved (see publication "Recognizing Upper Body Postures using Textile Strain Sensors").
Links
2008
- Body Posture Detection Using Strain Sensitive Clothing
Corinne Mattmann
, ETH Zurich, Diss.-No. 17982, 2008
[ BiBTeX RIS ]
- Sensor for Measuring Strain in Textile
Corinne Mattmann, Frank Clemens and Gerhard Tröster
(2008), in: Sensors (MDPI), 8:6(3719-3732)
[ BiBTeX RIS DOI ]
2007
- Recognizing Upper Body Postures using Textile Strain Sensors
Corinne Mattmann, Oliver Amft, Holger Harms, Frank Clemens and Gerhard Tröster
in: Proc. 11th International Symposium on Wearable Computers (ISWC07), Boston, pages 29-36, 2007
[ BiBTeX RIS PDF
DOI ]
2006
- Design Concept of Clothing Recognizing Back Postures
Corinne Mattmann and Gerhard Tröster
in: Proc. 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors (ISSS-MDBS 2006), Boston, pages 24-27, 2006
[ BiBTeX RIS DOI ]
2005
- A Method to Measure Elongations of Clothing
Corinne Mattmann, Tünde Kirstein and Gerhard Tröster
in: Proc. 1st International Conference on Intelligent Ambience and Well-Being (Ambience05), Tampere, Finland, 2005
[ BiBTeX RIS ]
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