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Open research data: Sensor Data for ML based Indoor Positioning
Citation Link: https://doi.org/10.15480/882.9563
Type
Measurement and Test Data
Date Issued
2024-05-07
Language
English
Abstract
This data package contains open research data intended for machine learning from the WinOSens project. It is sensor data that was recorded by a sensor module attached to a sack truck pushed on the same path many times. It was meant to train ML models for recognizing the current position on the path. Sensor values are available for acceleration, gyration, magnetic flux density, air pressure, temperature, humidity, and the brightness of different colors. The current location of the sack truck is available as labels annotated by humans. The data is provided for 3 paths that cover indoor and outdoor areas.
Subjects
Open research data
Indoor positioning
Sensor data
Machine learning training data
Multivariate time series classification
WinOSens
MLE@TUHH
DDC Class
620: Engineering
004: Computer Sciences
Funding Organisations
Technical information
Detailed information describing the data package is given in file Readme.pdf contained in the ZIP file.
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Name
Sensor_data_for_ML_based_indoor_positioning.zip
Size
83.54 MB
Format
ZIP