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University of Trento (38123 Povo, Trento, Italy)

2020-DiversityOne-Copenhagen-Step Counter Edit

This dataset exploits the Android API that generates an event when a step is detected. The step counter sensor is used to get the total number of steps taken by the user since the last reboot (power on) of the phone. It is part of Wenet Diversity 1 data collection, which contains data about the everyday life activities of students coming from 8 different universities located in China, Denmark, India, Italy, Mexico, Mongolia, Paraguay and UK. The data were collected via questionnaires, data coming from 26 smartphone sensors associated to thousand self-reported annotations over a period of 4 weeks.

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License 2023 LivePeople Licence
Project title 2020-DiversityOne-Copenhagen
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Project keywords Diversity, Social Practices, Lifestyle, Smartphone data, Sensor data
Project type Data collection
Project start date 2020-09-28
Project end date 2020-12-11
Project funding agency European Union’s Horizon 2020 WeNet project, under grant agreement 823783
Project output Datasets, Publications
Project coordinator Amalia de Götzen
Project area LivePeople
Project members Peter Kun, Niels Jørgen Gommesen
Project target location Copenhagen (Denmark)
Overall participants involved 443
Selected participants 18
Type of measurements Questionnaire, Intensive Longitudinal Survey
IRB approval date 2020-05-20
IRB approval organization Aalbor University
IRB approval number 2020-020-00462
Cite as Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti, Lakmal Meegahapola, Peter Kun, Shyam Diwakar, Chaitanya Nutakki, Marcelo Rodas Britez,Hao Xu, Donglei Song, Salvador Ruiz-Correa, Andrea-Rebeca Mendoza-Lara, George Gaskell, Sally Stares, Miriam Bidoglia, Amarsanaa Ganbold, Altangerel Chagnaa, Luca Cernuzzi, Alethia Hume, Ronald Chenu-Abente, Roy Alia Asiku, Ivan Kayongo, Daniel Gatica-Perez, Amalia De Götzen, Ivano Bison, and Fausto Giunchiglia. (2025). DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies.
Project Identifier 004.AAAD.AAC.**
Download request email datadistribution.knowdive@unitn.it
Sensor Name Step Counter
Dataset Type Sensor
Sensor Type Motion
Data Collection Start Date 2020-09-28
Data Collection End Date 2020-12-11
Publication Date 2023-11-30
Language Not Applicable
Dataset Size 4.01 MB
Domain Digital University
File Format parquet
5-Star Rating 3
Dataset Identifier 004.AAAD.AAC.BH

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