1354 32 5505 2 28923 document 5505 NodeNS_Dataset.zip application/zip e60d1924518e9ea09cf339d03021fafa MD5 182907954 2022-10-26 10:58:50 https://researchdata.gla.ac.uk/1354/1/NodeNS_Dataset.zip 1354 1 1 application/zip Code en public cc_by_4

NodeNS_Dataset.zip

full_archive 5507 2 28927 document 5507 ReadMe_NodeNS.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 452afff101db05c991c950ba68459049 MD5 422438 2022-10-26 10:59:06 https://researchdata.gla.ac.uk/1354/3/ReadMe_NodeNS.docx 1354 3 3 application/vnd.openxmlformats-officedocument.wordprocessingml.document Text en public cc_by_4

ReadMe_NodeNS.docx

readme 5508 1 28936 document 5508 indexcodes.txt text/x-c++ a902ed2fe91d1609283172307e2b961d MD5 2609 2022-10-26 11:09:10 https://researchdata.gla.ac.uk/1354/4/indexcodes.txt 1354 4 4 text/x-c++ other Generate index codes conversion from Text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/5507 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/5507 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/5507 archive 5 disk0/00/00/13/54 2022-10-26 10:59:46 2025-06-11 10:34:43 2022-10-26 10:59:46 data_collection show Yu Zheqi 47701 Khan Muhammad Zakir 61189 Taha Ahmad 57890 0000-0003-1246-8981 Imran Muhammad 37001 0000-0003-4743-9136 Abbasi Qammer 39488 0000-0002-7097-9969 glaresearchdata:2022-10-24-1354 pub 30300000 Funding also acknowldged from EPSRC (EP/T021063/1) To date, numerous types of collection devices have been used in the recognition of human activities. However, due to the scarcity of training data, the task of 3D point cloud labelling has not yet made significant progress. To overcome this challenge, it is aimed to deduce this data requirements gap, allowing deep learning methods to reach their full potential in 3D point cloud tasks. The dataset used for this process is comprised of dense point clouds acquired with the static ground sensor by the NodeNs company supported MIMO radar (NodeNs ZERO 60 GHz IQ radar). It contains multiple types of human being data ranging from one to four individuals and encompasses a range of human action scenarios, including standing, sitting, picking up, falling, and walking. 2022-10-24 published University of Glasgow 10.5525/gla.researchdata.1354 Code Text University of Glasgow 307829 Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community Healthcare Jonathan Cooper Engineering and Physical Sciences Research Council (EPSRC) EP/T021020/1 ENG - Biomedical Engineering FALSE EN 2021-01-07 2021-07-31 https://doi.org/10.1109/JSEN.2022.3198395 article 2032-10-26 R file_share TRUE 300190109 cose FALSE https://eprints.gla.ac.uk/id/eprint/276607