Radar signatures of human activities

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data archive 32960 disk0/00/00/08/48 2019-09-05 10:03:01 2026-02-27 15:52:51 2019-09-05 10:03:01 data_collection show Fioranelli Francesco 36576 0000-0001-8254-8093 Shah Syed Aziz 47341 0000-0003-2052-1121 Li Haobo 39033 Shrestha Aman 38848 Yang Shufan 43343 0000-0003-0531-2903 Le Kernec Julien 35927 0000-0003-2124-6803 glaresearchdata:2019-07-18-848 Radar signatures of human activities pub 30300000 The dataset includes radar signatures of different indoor human activities performed by different people in different locations. The purpose is to offer the research community a set of data to develop and benchmark feature extraction and classification algorithms in the general context of assisted living, for example to detect falls or anomalies in the normal pattern of activities of people. The dataset includes a readme document with additional information and there is a related publication that we would ask users of the data to cite as an acknowledgement. 2019-07-18 published University of Glasgow 10.5525/gla.researchdata.848 Text University of Glasgow 301526 Intelligent RF Sensing for Fall and Health Prediction Francesco Fioranelli Engineering and Physical Sciences Research Council (EPSRC) EP/R041679/1 ENG - Systems Power & Energy FALSE EN 2017-03 2019-03 https://doi.org/10.5525/gla.researchdata.2031 data 2029-09-05 R TRUE 300180068 cose FALSE Radar sensing for healthcare http://eprints.gla.ac.uk/id/eprint/190527 Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning http://eprints.gla.ac.uk/id/eprint/243179 Radar-based human activity recognition with adaptive thresholding towards resource constrained platforms https://eprints.gla.ac.uk/id/eprint/292971 A holistic human activity recognition optimisation using AI techniques https://eprints.gla.ac.uk/id/eprint/305884 Radar signal processing and its impact on deep learning-driven human activity recognition https://eprints.gla.ac.uk/id/eprint/346394 Micro-Doppler Super-Resolution Using Iterative Adaptive Approach https://eprints.gla.ac.uk/id/eprint/329523 Benchmarking radar preprocessing techniques and transfer learning models for FMCW-based human activity recognition https://eprints.gla.ac.uk/id/eprint/380731