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 |
| Project URL | View |
| Project web page | View |
| 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.** |
| 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 |