Mikkel Baun Kjærgaard
Title
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Cited by
Year
Entracked: energy-efficient robust position tracking for mobile devices
MB Kjærgaard, J Langdal, T Godsk, T Toftkjær
Proceedings of the 7th international conference on Mobile systems …, 2009
3282009
Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition
A Stisen, H Blunck, S Bhattacharya, TS Prentow, MB Kjærgaard, A Dey, ...
Proceedings of the 13th ACM conference on embedded networked sensor systems …, 2015
2772015
A taxonomy for radio location fingerprinting
MB Kjærgaard
International symposium on location-and context-awareness, 139-156, 2007
2432007
Hyperbolic location fingerprinting: A calibration-free solution for handling differences in signal strength
MB Kjærgaard, CV Munk
Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE …, 2008
159*2008
Indoor location fingerprinting with heterogeneous clients
MB Kjærgaard
Pervasive and Mobile Computing 7 (1), 31-43, 2011
1512011
Indoor positioning using GPS revisited
MB Kjærgaard, H Blunck, T Godsk, T Toftkjær, DL Christensen, ...
International conference on pervasive computing, 38-56, 2010
1402010
Brick: Towards a unified metadata schema for buildings
B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ...
Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016
1312016
Energy-efficient trajectory tracking for mobile devices
MB Kjærgaard, S Bhattacharya, H Blunck, P Nurmi
Proceedings of the 9th international conference on Mobile systems …, 2011
1102011
Location-based services on mobile phones: Minimizing power consumption
MB Kjaergaard
Pervasive Computing, IEEE 11 (1), 67-73, 2012
104*2012
Analysis methods for extracting knowledge from large-scale wifi monitoring to inform building facility planning
AJ Ruiz-Ruiz, H Blunck, TS Prentow, A Stisen, MB Kjærgaard
2014 IEEE International Conference on Pervasive Computing and Communications …, 2014
942014
Mobile sensing of pedestrian flocks in indoor environments using wifi signals
MB Kjærgaard, M Wirz, D Roggen, G Tröster
2012 IEEE International Conference on Pervasive Computing and Communications …, 2012
902012
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
MB Kjærgaard, M Wirz, D Roggen, G Tröster
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 240-249, 2012
832012
Error estimation for indoor 802.11 location fingerprinting
H Lemelson, MB Kjærgaard, R Hansen, T King
International Symposium on Location-and Context-Awareness, 138-155, 2009
712009
Unsupervised power profiling for mobile devices
MB Kjærgaard, H Blunck
International Conference on Mobile and Ubiquitous Systems: Computing …, 2011
582011
Brick: Metadata schema for portable smart building applications
B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ...
Applied energy 226, 1273-1292, 2018
562018
Automatic mitigation of sensor variations for signal strength based location systems
MB Kjærgaard
International Symposium on Location-and Context-Awareness, 30-47, 2006
532006
Robust and energy-efficient trajectory tracking for mobile devices
S Bhattacharya, H Blunck, MB Kjærgaard, P Nurmi
IEEE transactions on mobile computing 14 (2), 430-443, 2014
442014
Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data
MB Kjargaard, H Blunck, M Wustenberg, K Gronbask, M Wirz, D Roggen, ...
Pervasive Computing and Communications (PerCom), 2013 IEEE International …, 2013
372013
ObepME: An online building energy performance monitoring and evaluation tool to reduce energy performance gaps
M Jradi, K Arendt, FC Sangogboye, CG Mattera, E Markoska, ...
Energy and Buildings 166, 196-209, 2018
322018
Plcount: A probabilistic fusion algorithm for accurately estimating occupancy from 3d camera counts
FC Sangoboye, MB Kjærgaard
Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016
322016
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Articles 1–20