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Marko's Research

I was a PhD Student with the Embedded Sensing Systems group at the Technische Universität Darmstadt and investigated long-term monitoring of activities.

Long-term monitoring for activity recognition gives the possibility to derive characteristics from the data such as daily activity rhythms, certain quality measures for the performed activity or detect abnormalities in the data. Such monitoring is applicable whenever patients have to be observed who are not able to keep log of their activities, e.g., patients from mental institutions that are living in their private home.

The goal of this work is to identify features in long-term data and assess their value in regard to rhythmic, quality and meaning for each activity performed.

Profil von Marko Borazio auf LinkedIn anzeigenMarko Borazio

Past Activities

Students

I had the opportunity to supervise these students with their Diploma/Bachelor/Master Thesis:

  • Martin Jänsch: Activity Recognition with Glass, Smartphone and HedgeHog, Master Thesis - 2014 
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  • Jan Hendrik Burdinski: Evaluation and Comparison of Long-Term Activity Data from a Smartphone and the HedgeHog, Master Thesis - 2013
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  • Nagihan Kücükyildiz: Akquise und Evaluierung von Sensordaten im Schlaflabor (TU Braunschweig, Germany), Bachelor Thesis - 2012
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  • Patrick Frankenberger: Evaluation of Visualization Techniques on Wearable Sensor Accelerometry Data (TU Darmstadt, Germany), Diploma Thesis - 2012
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  • Alexander Wöhnl: Visualization and Recognition of Sleep Characteristics (TU Darmstadt, Germany), Bachelor Thesis - 2012
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  • Holger Becker: Monitoring of Long-Term, Low-Fidelity Sleep Characteristics (TU Darmstadt, Germany), Diploma Thesis - 2010
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