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A versatile annotated dataset for multimodal locomotion analytics with mobile devices
poster
posted on 2023-06-09, 07:57 authored by Hristijan GjoreskiHristijan Gjoreski, Mathias Ciliberto, Francisco Javier Ordoñez Morales, Daniel RoggenDaniel Roggen, Sami Mekki, Stefan ValentinWe explain how to obtain a highly versatile and precisely annotated dataset for the multimodal locomotion of mobile users. After presenting the experimental setup, data management challenges and potential applications, we conclude with the best practices for assuring data quality and reducing loss. The dataset currently comprises 7 months of measurements, collected by smartphone’s sensors and a body-worn camera, while the 3 participants used 8 different modes of transportation. It comprises 950 GB of sensor data, which corresponds to 750 hours of labelled data. The obtained data will be useful for a wide range of research questions related to activity recognition, and will be made available to the community.
Funding
Activity sensing technologies for mobile users; HUAWEI
History
Publication status
- Published
File Version
- Accepted version
External DOI
Event name
The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017)Event location
Delft, The NetherlandsEvent type
conferenceEvent date
Sunday 5th - Wednesday 8th November 2017Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Sensor Technology Research Centre Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-09-19First Open Access (FOA) Date
2018-05-31First Compliant Deposit (FCD) Date
2017-09-19Usage metrics
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