Thor S. Prentow

According to our database, Thor S. Prentow authored at least 11 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Deviation maps for robust and informed indoor positioning services.

Henrik Blunck, Thor S. Prentow, Sylvie Temme, Andreas Thom, Jan Vahrenhold

ACM SIGSPATIAL Special, 2017

Task phase recognition and task progress estimation for highly mobile workers in large building complexes.

Allan Stisen, Henrik Blunck, Mikkel Baun Kjærgaard, Thor Siiger Prentow, Andreas Mathisen, Søren Krogh Sørensen, Kaj Grønbæk

Pervasive Mob. Comput., 2017

2016

ACTIVITY RECOGNITION ON SMART DEVICES: Dealing with diversity in the wild.

Henrik Blunck, Sourav Bhattacharya, Allan Stisen, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind K. Dey, Mads Møller Jensen, Tobias Sonne

GetMobile Mob. Comput. Commun., 2016

Task phase recognition for highly mobile workers in large building complexes.

Allan Stisen, Andreas Mathisen, Søren Krogh Sørensen, Henrik Blunck, Mikkel Baun Kjærgaard, Thor Siiger Prentow

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

2015

Heterogeneity Activity Recognition.

Henrik Blunck, Sourav Bhattacharya, Thor S. Prentow, Mikkel Kjrgaard, Anind K. Dey

Dataset, October, 2015

Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition.

Allan Stisen, Henrik Blunck, Sourav Bhattacharya, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind K. Dey, Tobias Sonne, Mads Møller Jensen

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Towards Indoor Transportation Mode Detection Using Mobile Sensing.

Thor Siiger Prentow, Henrik Blunck, Mikkel Baun Kjærgaard, Allan Stisen

Proceedings of the Mobile Computing, Applications, and Services, 2015

Making Sense of Trajectory Data in Indoor Spaces.

Thor S. Prentow, Andreas Thom, Henrik Blunck, Jan Vahrenhold

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

2014

Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning.

Antonio Jesus Ruiz Ruiz, Henrik Blunck, Thor S. Prentow, Allan Stisen, Mikkel Baun Kjærgaard

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

Accurate estimation of indoor travel times: learned unsupervised from position traces.

Thor S. Prentow, Henrik Blunck, Mikkel Baun Kjærgaard, Allan Stisen, Kaj Grønbæk

Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

Estimating Common Pedestrian Routes through Indoor Path Networks Using Position Traces.

Thor S. Prentow, Henrik Blunck, Kaj Grønbæk, Mikkel Baun Kjærgaard

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014