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Open Access
Federated Learning: mmWave MIMO radar dataset for testing
- Citation Author(s):
-
StefanoSavazzi
Consiglio Nazionale delle Ricerche CNR-IEIIT - Submitted by:
- Stefano Savazzi
- Last updated:
- Mon, 08/16/2021 - 08:26
- DOI:
- 10.21227/0wmc-hq36
- Data Format:
- Links:
- License:
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Abstract
The database contains the raw range-azimuth measurements obtained from mmWave MIMO radars (IWR1843BOOST http://www.ti.com/tool/IWR1843BOOST) deployed in different positions around a robotic manipulator. Data has been collected inside a workspace environment. The data is used to train a machine learning model for the detection of a human operator placed in different positions (see the image). The Python code examples (on github link) use the data for federated learning.
Dataset Files
Continual learning - day 0: range-azimuth training data (256 range bins, 63 azimuth/angle bins) from 9 devices training_data_range_azimuth_day0.zip (527.57 MB)- Continual learning - day 0: range-azimuth test data (256 range bins, 63 azimuth/angle bins) from 9 devices test_data_range_azimuth_day0.zip (175.53 MB)
- Continual learning - day 1: range-azimuth training data (256 range bins, 63 azimuth/angle bins) from 9 devices training_data_range_azimuth_day1.zip (264.14 MB)
- Continual learning - day 1: range-azimuth test data (256 range bins, 63 azimuth/angle bins) from 9 devices test_data_range_azimuth_day1.zip (117.05 MB)
- Continual learning - day 2: range-azimuth training data (256 range bins, 63 azimuth/angle bins) from 9 devices training_data_range_azimuth_day2.zip (264.11 MB)
- Continual learning - day 2: range-azimuth test data (256 range bins, 63 azimuth/angle bins) from 9 devices test_data_range_azimuth_day2.zip (117.05 MB)
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