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Innovative Application Development for Ubiquitous and Wearable Computing

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7.4.  Develop an X’treme Prototype: Sensing & Analysis Software 105 Figure 7.4: Logging-unit composed of Smart-Its Technology 7.4.2   Data-Logging Due to our positive experience from previous projects [ Kern and Schiele 2003 ] we built the sensing platform (see Figure 7.4) upon the Smart-Its platform [ Holmquist et al. 2004 ] . It provides computation power through a PIC micro-controller that can sample analog data with a rate up to 50kHz with a resolution of 10bits. An add-on multiplexer-board (see [ Kern and Schiele 2003 ] for details) shares this A/D conversion among 24 analog input channels for sensor data. The on-board UART driver of the Smart-It limits the maximum data rate to 14kB/sec. Assuming a the average logging duration of a ski-run of two minutes and considering one more minute before and after the run, with the maximal data rate, 2.47MB accumulate. For the first prototype which chose the simplest way: Two data-logging units connected to a Laptop-PC via serial line for persistent data storage. 7.4.3   Software: SKI - Synchronous Kinetics Integration An analysis software prototype, referred to as SKI, was developed, so that video sequences and data recorded by the sensor platform can be viewed in a synchro- nized way. During the development of the visualization software one challenge was to implement an intuitive representation of the measured data. Furthermore, spe- cial attention was paid towards extensibility, in order to incorporate feedback and suggestions stemming from users during the experience sessions: By using the Java Reflection Framework [ Green 2003 ] new data-viewers derived from basic framework classes can be added to the software without any further changes of the entire frame- work. In SKI the user can associate video recordings of a ski with sensor data, and view those through di erent visualization representations (see Figure 7.5a). In particular, the framework provides rotating bars indicating rotation movements primarily for gyroscope data (see Figure 7.5b), a composition of all foot force mea- surements (see Figure 7.5c), and, finally, an animated data plot showing the plain
  
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von Helmut Köhler
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