2020-DiversityOne-Trento-Accelerometer Edit
The dataset contains 3D vector of the acceleration. 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-Trento |
| 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 | Ivano Bison |
| Project area | LivePeople |
| Project members | Ronald Chenu Abente Acosta, Matteo Busso, Marcelo Rodas Britez, Andrea Bontempelli, Fausto Giunchiglia |
| Project target location | Trento (Italy) |
| Overall participants involved | 5692 |
| Selected participants | 221 |
| Type of measurements | Questionnaire, Intensive Longitudinal Survey |
| IRB approval date | 2019-09-12 |
| IRB approval organization | CER UniTrento |
| IRB approval number | 2019-031 |
| 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.AAA.** |
| Sensor Name | Accelerometer |
| 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 | 140280.20 MB |
| Domain | Digital University |
| File Format | parquet |
| 5-Star Rating | 3 |
| Dataset Identifier | 004.AAAD.AAA.AY |