Three Methods for Energy-Efficient Context Recognition

Abstract

Context recognition is a process where (usually wearable) sensors are used to determine the context (location, activity, etc.) of users wearing them. A major problem of such context-recognition systems is the high energy cost of collecting and processing sensor data. This paper summarizes a doctoral thesis that focuses on solving this problem by proposing a general methodology for increasing the energy-efficiency of context-recognition systems. The thesis proposes and combines three different methods that can adapt a system’s sensing settings based on the last recognized context and last seen sensor readings.

References

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Janko, Vito. Adapting sensor settings for energy-efficient context recognition. Diss. Ph. D. thesis, Jožef Stefan International Postgraduate School, 2020.

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EECR, https://pypi.org/project/eecr/, Last accessed: 08-03-2021

Authors

  • Vito Janko Jožef Stefan Institute

DOI:

https://doi.org/10.31449/inf.v45i2.3509

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Published

06/15/2021

How to Cite

Janko, V. (2021). Three Methods for Energy-Efficient Context Recognition. Informatica, 45(2). https://doi.org/10.31449/inf.v45i2.3509

Issue

Vol. 45 No. 2 (2021)

Section

Thesis summary

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