arrow_back TMD-CAPTIMOVE
General information
Contributor: Hassen Fourati 0000-0002-8398-7183
Other contributors: F. TAIA ALAOUI, Hassen Fourati, Nicolas Vuillerme, Alain Kibangou, Bogdan Robu, Christophe Villemazet
Institution: Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Description: This database called "TMD-CAPTIMOVE" provides transportation mode labelled data collected by 34 volunteers for a total time duration of around 48 hours. Considered transportation modes are: On-foot (Walking, Stairs, Elevators), Bike, Scooter, Bus, Tram. The number of labels is 11: Still, Walk, Upstairs, Downstairs, Elevator up, Elevator down, Bike, Electric scooter, kick scooter, Bus, Tram. Sensor data are: Acceleration (m/s²), angular rate (°/s), atmospheric pressure (hPa), heart rate (beat per minute (BPM)). The sampling frequency for all data is 32 Hertz.
Readme file
Archive file 13 downloads
inventory_2 labelleddata.zip
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Details
External identifier:
doi:10.18709/perscido.2020.04.ds310
Subjects:
Learning,
Computer science,
Engineering
Keywords:
inertial sensors,
Classification,
Open data set,
Wearable sensors,
Public transport,
Machine Learning,
Barometer,
Identification and recognition,
Neural networks,
Indoor/outdoor navigation,
TMD,
pressure
Encoding format:
csv
zoom_in Benchmark zoom_in Activity recognition- tracking zoom_in Classification zoom_in pattern extraction
Citation
F. Taia Alaoui, Hassen Fourati, Nicolas Vuillerme, Alain Kibangou, Bogdan Robu, Christophe Villemazet, (2020) TMD-CAPTIMOVE. [Data set]. Published 2020 via Perscido-Grenoble-Alpes