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A versatile annotated dataset for multimodal locomotion analytics with mobile devices

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posted on 2023-06-09, 07:57 authored by Hristijan GjoreskiHristijan Gjoreski, Mathias Ciliberto, Francisco Javier Ordoñez Morales, Daniel RoggenDaniel Roggen, Sami Mekki, Stefan Valentin
We 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

Event name

The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017)

Event location

Delft, The Netherlands

Event type

conference

Event date

Sunday 5th - Wednesday 8th November 2017

Department 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

2017-09-19

First Open Access (FOA) Date

2018-05-31

First Compliant Deposit (FCD) Date

2017-09-19

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