Design Concept of Clothing Recognizing Back Postures

Continuous observation of the back enables an online feedback concerning malpositions or unhealthy movements. In this paper a design concept of clothing measuring back postures is presented. The posture detection is based on elongation measurements captured by strain sensitive fibres attached to the undershirt. The feasibility of this approach is shown by reference measurements, which provide a basis to define requirements for textile strain sensors. With these reference measurements, elongations in the range of 20% were measured on the back. The paper is completed by an overview of the state-of-the-art of potential technologies necessary for the proposed design.

[1]  D. Rossi,et al.  Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[2]  R. Aschenbrenner,et al.  New assembly technologies for textile transponder systems , 2003, 53rd Electronic Components and Technology Conference, 2003. Proceedings..

[3]  Xiaoming Tao,et al.  Polypyrrole-coated Large Deformation Strain Fabric Sensor and its Properties Study , 2006 .

[4]  Paul Lukowicz,et al.  Design of the QBIC wearable computing platform , 2004, Proceedings. 15th IEEE International Conference on Application-Specific Systems, Architectures and Processors, 2004..

[5]  G. Troster,et al.  A novel circularly polarized textile antenna for wearable applications , 2004, 7th European Conference on Wireless Technology, 2004..

[6]  James Church,et al.  Wearable sensor badge and sensor jacket for context awareness , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[7]  Paul Lukowicz,et al.  Power and size optimized multi-sensor context recognition platform , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[8]  H Harry Asada,et al.  Wearable Conductive Fiber Sensors for Multi-Axis Human Joint Angle Measurements , 2005, Journal of NeuroEngineering and Rehabilitation.

[9]  Paul Lukowicz,et al.  Distributed Modular Toolbox for Multi-modal Context Recognition , 2006, ARCS.