ContextLabeler dataset: Physical and virtual sensors data collected from smartphone usage in-the-wild
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 i...
Main Authors: | Mattia Giovanni Campana, Franca Delmastro |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921004480 |
Similar Items
-
Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone
by: Sungyoung Lee, et al.
Published: (2012-09-01) -
Beyond Where to How: A Machine Learning Approach for Sensing Mobility Contexts Using Smartphone Sensors
by: Robert E. Guinness
Published: (2015-04-01) -
A Vehicle Steering Recognition System Based on Low-Cost Smartphone Sensors
by: Xinhua Liu, et al.
Published: (2017-03-01) -
An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition
by: Raslan Kain, et al.
Published: (2021-10-01) -
C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors
by: Muhammad Ehatisham-Ul-Haq, et al.
Published: (2020-01-01)