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ContextLabeler Dataset: physical and virtual sensors data collected from smartphone usage in-the-wild
- Source :
- Data in Brief, Vol 37, Iss, Pp 107164-(2021), Data in Brief
- Publication Year :
- 2023
-
Abstract
- This paper describes a data collection campaign and the resulting dataset derived from smartphone sensors characterizing the daily life activities of 3 volunteers in a period of two weeks. The dataset is released as a collection of CSV files containing more than 45K data samples, where each sample is composed by 1332 features related to a heterogeneous set of physical and virtual sensors, including motion sensors, running applications, devices in proximity, and weather conditions. Moreover, each data sample is associated with a ground truth label that describes the user activity and the situation in which she was involved during the sensing experiment (e.g., working, at restaurant, and doing sport activity). To avoid introducing any bias during the data collection, we performed the sensing experiment in-the-wild, that is, by using the volunteers' devices, and without defining any constraint related to the user's behavior. For this reason, the collected dataset represents a useful source of real data to both define and evaluate a broad set of novel context-aware solutions (both algorithms and protocols) that aim to adapt their behavior according to the changes in the user's situation in a mobile environment.
- Subjects :
- Signal Processing (eess.SP)
FOS: Computer and information sciences
Computer Science - Machine Learning
Science (General)
Smartphone sensing
Computer science
Computer applications to medicine. Medical informatics
R858-859.7
Mobile computing
Computer Science - Human-Computer Interaction
Sample (statistics)
computer.software_genre
Social sensing
Human-Computer Interaction (cs.HC)
Machine Learning (cs.LG)
Set (abstract data type)
Q1-390
03 medical and health sciences
0302 clinical medicine
Virtual sensors
FOS: Electrical engineering, electronic engineering, information engineering
User context
Electrical Engineering and Systems Science - Signal Processing
Motion sensors
Data Article
030304 developmental biology
0303 health sciences
Ground truth
Multidisciplinary
Data collection
Context-aware
Constraint (information theory)
Data mining
computer
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Data in Brief, Vol 37, Iss, Pp 107164-(2021), Data in Brief
- Accession number :
- edsair.doi.dedup.....4889f7fc050fd1616d45b260978375cf