2018-SmartUnitn2-Trento-Activities Edit
The dataset returns a label identifying the activity performed by the user, accurately detected using low power signals from multiple sensors in the device. This is achieved using Google’s Activity Recognition API. Possible activities are; still, in_vehicle, on_bycicle, on_foot, running, tilting, walking.. It is part of SmartUnitn2 data collection, which contains data from 27 sensors associated to around 100+ thousand self-reported annotations about the everyday life of 158 university students over a period of 4 weeks, and also additional data about profile.
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Metadata info
| License | 2023 LivePeople Licence |
|---|---|
| Project title | 2018-SmartUnitn2-Trento |
| Project URL | View |
| Project web page | View |
| Project keywords | Academic Performance, Daily Routines, Lifestyle, Smartphone data, Sensor data |
| Project type | Data collection |
| Project start date | 2018-05-11 |
| Project end date | 2018-06-06 |
| Project funding agency | European Union’s Horizon 2020 WeNet project, under grant agreement 823783 |
| Project output | Datasets, Publications |
| Project coordinator | Fausto Giunchiglia |
| Project area | LivePeople |
| Project members | Ivano Bison, Mattia Zeni, Ronald Chenu Abente Acosta, Enrico Bignotti, Matteo Busso, Elisa Gobbi |
| Project target location | Trento (Italy) |
| Overall participants involved | 145 |
| Selected participants | 158 |
| Type of measurements | Questionnaire, Intensive Longitudinal Survey |
| IRB approval date | 2017-06-28 |
| IRB approval organization | CER UniTrento |
| IRB approval number | 2016-027 |
| Cite as | Fausto Giunchiglia, Matteo Busso, Mattia Zeni, Ivano Bison, A survey on students’ daily routines and academic performance at the University of Trento, University of Trento Technical Report. No. DISI-2001-DS-01, (2022) |
| Project Identifier | 002.AAAB.AAA.** |
| Sensor Name | Activities |
| Dataset Type | Sensor |
| Sensor Type | Motion |
| Data Collection Start Date | 2018-05-11 |
| Data Collection End Date | 2018-06-06 |
| Publication Date | 2023-04-07 |
| Language | Not Applicable |
| Dataset Size | 1 MB |
| Domain | Digital University |
| File Format | parquet |
| 5-Star Rating | 3 |
| Dataset Identifier | 002.AAAB.AAA.CF |