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Signal Processing Technologies for Activity-aware Smart Textiles

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86799

Bulling,  Andreas
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Zitation

Roggen, D., Tröster, G., & Bulling, A. (2013). Signal Processing Technologies for Activity-aware Smart Textiles. In T. Kirstein (Ed.), Multidisciplinary Know-How for Smart-Textiles Developers (pp. 329-365). Philadelphia, PA: Woodhead Publishing. doi:10.1533/9780857093530.2.329.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0024-4AAD-6
Zusammenfassung
Garments made of smart textiles have an enormous potential for embedding sensors in close proximity to the body in an unobtrusive and comfortable manner. Combined with signal processing and pattern recognition technologies, complex high-level information about human behaviors or situations can be inferred from the sensor data. The goal of this chapter is to introduce the reader to the design of activity-aware systems that use body-worn sensors, such as those that can be made available through smart textiles. We start this chapter by emphasizing recent trends towards ‘}wearable{’ sensing and computing and we present several examples of activity-aware applications. Then we outline the role that smart textiles can play in activity-aware applications, but also the challenges that they pose. We conclude by discussing the design process followed to devise activity-aware systems: the choice of sensors, the available data processing methods, and the evaluation techniques. We discuss recent data processing methods that address the challenges resulting from the use of smart textiles.