Technische Universität München
Universität Stuttgart
Smart Clothing: Amplified Intelligence
Professors
Description
- Constant monitoring of patients vital signs in order to predict anomalies: MyHeart Project (ETH Zürich).
- A collar for bicyclists that is equipped with accelerometers and gyroscopes. When it detects a bicyclist is about to fall, the collar quickly inflates into a helmet: (The Hovding Helmet).
- Measuring athlete's burned calories using GPS, accelerometers and heart rate monitors to compute distances, speeds and user's vital signs. (For example the Nike+ products).
The goal of the course is to explore the potential of e-Textiles in different application domains. We will do this in a project-based way enhanced by guest lectures. The lectures will deal with topics such as wearable computing, e-Textiles, and their relationship to Smart Spaces and the Internet of Things (IoT). The project will be decided at the beginning of the course. Hardware platforms will be iOS and Android. The eTextiles will be based on the Arduino technology, in particular, the Lilypad. Additionally we will have the .Net Gadgeteer available that can be used as sensor/actuator platform and hardware platform for eTextiles. Experience with these platforms is helpful but not required. The course language is English.
Additional Information
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The adidas_1 intelligent shoe with an embedded system. See: B.M. Eskofier, M. Oleson, C. DiBenedetto, J. Hornegger. Embedded surface classification in digital sports. Pattern Recognition Letters 30(16), 1448-1456, 2009. |
Ski googles with integrated HUD running Android OS. See: http://www.reconinstruments.com/ |
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Gadgeteer based Wearable Prototype. See: http://blog.hcilab.org/gadgeteer/ |
The My Coach Elite System. See: http://www.adidas.com/us/micoach/ |
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Lilypad toolkit. Source: Leah Buechley, "Questioning Invisibility," Computer, vol. 43, no. 4, pp. 84-86, April 2010, doi:10.1109/MC.2010.114 |
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