Title: Detecting social interactions via mobile sensing - Dataset
Type Dataset Perndorfer, Markus (2015): Detecting social interactions via mobile sensing - Dataset. Zenodo. Dataset. https://zenodo.org/record/16678
Links
- Item record in Zenodo
- Digital object URL
Summary
The goal of Markus' master thesis was to establish whether real-life social interactions could be detected using smartphone internal sensors.
The present dataset is a labelled set of sensor data. It contains sensing data of six persons, who each used the sensing application for three days in a row. During these days, the test persons in addition created labels for their real-life sensing data.
Participants in the first group in addition worked in the same office, and used the sensing at the same time. Their social interactions therefore overlap.
More information
- DOI: 10.5281/zenodo.16678
Subjects
- mobile phone sensing, social interaction detection
Dates
- Publication date: 2015
- Issued: April 08, 2015
Notes
Other: This master thesis has been supervised by Viktoria Pammer at Graz University of Technology (kti.tugraz.at/staff/viktoriapammer).Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Format
electronic resource
Relateditems
| Description | Item type | Relationship | Uri |
|---|---|---|---|
| IsPartOf | https://zenodo.org/communities/zenodo |