Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint) Article Swipe
Gabriele Marini
,
Benjamin Tag
,
Jorge Gonçalves
,
Eduardo Velloso
,
Raja Jurdak
,
Daniel Capurro
,
Clare McCarthy
,
William Shearer
,
Vassilis Kostakos
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.19874
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.19874
BACKGROUND The use of location-based data in clinical settings is often limited to real-time monitoring. In this study, we aim to develop a proximity-based localization system and show how its longitudinal deployment can provide operational insights related to staff and patients' mobility and room occupancy in clinical settings. Such a streamlined data-driven approach can help in increasing the uptime of operating rooms and more broadly provide an improved understanding of facility utilization. OBJECTIVE The aim of this study is to measure the accuracy of the system and algorithmically calculate measures of mobility and occupancy. METHODS We developed a Bluetooth low energy, proximity-based localization system and deployed it in a hospital for 30 days. The system recorded the position of 75 people (17 patients and 55 staff) during this period. In addition, we collected ground-truth data and used them to validate system performance and accuracy. A number of analyses were conducted to estimate how people move in the hospital and where they spend their time. RESULTS Using ground-truth data, we estimated the accuracy of our system to be 96%. Using mobility trace analysis, we generated occupancy rates for different rooms in the hospital occupied by both staff and patients. We were also able to measure how much time, on average, patients spend in different rooms of the hospital. Finally, using unsupervised hierarchical clustering, we showed that the system could differentiate between staff and patients without training. CONCLUSIONS Analysis of longitudinal, location-based data can offer rich operational insights into hospital efficiency. In particular, they allow quick and consistent assessment of new strategies and protocols and provide a quantitative way to measure their effectiveness.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.19874
- OA Status
- gold
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4229720969
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4229720969Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2196/preprints.19874Digital Object Identifier
- Title
-
Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint)Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-05Full publication date if available
- Authors
-
Gabriele Marini, Benjamin Tag, Jorge Gonçalves, Eduardo Velloso, Raja Jurdak, Daniel Capurro, Clare McCarthy, William Shearer, Vassilis KostakosList of authors in order
- Landing page
-
https://doi.org/10.2196/preprints.19874Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2196/preprints.19874Direct OA link when available
- Concepts
-
Occupancy, Preprint, Software deployment, Computer science, Ground truth, Measure (data warehouse), Bluetooth, Real-time computing, Data mining, Telecommunications, Engineering, Artificial intelligence, World Wide Web, Architectural engineering, Wireless, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4229720969 |
|---|---|
| doi | https://doi.org/10.2196/preprints.19874 |
| ids.doi | https://doi.org/10.2196/preprints.19874 |
| ids.openalex | https://openalex.org/W4229720969 |
| fwci | 0.0 |
| type | preprint |
| title | Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint) |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10444 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9951000213623047 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Context-Aware Activity Recognition Systems |
| topics[1].id | https://openalex.org/T13248 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9620000123977661 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2746 |
| topics[1].subfield.display_name | Surgery |
| topics[1].display_name | Healthcare Technology and Patient Monitoring |
| topics[2].id | https://openalex.org/T12918 |
| topics[2].field.id | https://openalex.org/fields/14 |
| topics[2].field.display_name | Business, Management and Accounting |
| topics[2].score | 0.9107999801635742 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1407 |
| topics[2].subfield.display_name | Organizational Behavior and Human Resource Management |
| topics[2].display_name | Healthcare Systems and Technology |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C160331591 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8265430927276611 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7075743 |
| concepts[0].display_name | Occupancy |
| concepts[1].id | https://openalex.org/C43169469 |
| concepts[1].level | 2 |
| concepts[1].score | 0.735791802406311 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q580922 |
| concepts[1].display_name | Preprint |
| concepts[2].id | https://openalex.org/C105339364 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5839028358459473 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2297740 |
| concepts[2].display_name | Software deployment |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5083338618278503 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C146849305 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4615170657634735 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q370766 |
| concepts[4].display_name | Ground truth |
| concepts[5].id | https://openalex.org/C2780009758 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4474051296710968 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q6804172 |
| concepts[5].display_name | Measure (data warehouse) |
| concepts[6].id | https://openalex.org/C546215728 |
| concepts[6].level | 3 |
| concepts[6].score | 0.41752058267593384 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q39531 |
| concepts[6].display_name | Bluetooth |
| concepts[7].id | https://openalex.org/C79403827 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4163810610771179 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[7].display_name | Real-time computing |
| concepts[8].id | https://openalex.org/C124101348 |
| concepts[8].level | 1 |
| concepts[8].score | 0.2773256003856659 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[8].display_name | Data mining |
| concepts[9].id | https://openalex.org/C76155785 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2377791404724121 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[9].display_name | Telecommunications |
| concepts[10].id | https://openalex.org/C127413603 |
| concepts[10].level | 0 |
| concepts[10].score | 0.1911182403564453 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[10].display_name | Engineering |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.1625899076461792 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C136764020 |
| concepts[12].level | 1 |
| concepts[12].score | 0.12278327345848083 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[12].display_name | World Wide Web |
| concepts[13].id | https://openalex.org/C170154142 |
| concepts[13].level | 1 |
| concepts[13].score | 0.10966429114341736 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q150737 |
| concepts[13].display_name | Architectural engineering |
| concepts[14].id | https://openalex.org/C555944384 |
| concepts[14].level | 2 |
| concepts[14].score | 0.10925379395484924 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q249 |
| concepts[14].display_name | Wireless |
| concepts[15].id | https://openalex.org/C111919701 |
| concepts[15].level | 1 |
| concepts[15].score | 0.1091623306274414 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[15].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/occupancy |
| keywords[0].score | 0.8265430927276611 |
| keywords[0].display_name | Occupancy |
| keywords[1].id | https://openalex.org/keywords/preprint |
| keywords[1].score | 0.735791802406311 |
| keywords[1].display_name | Preprint |
| keywords[2].id | https://openalex.org/keywords/software-deployment |
| keywords[2].score | 0.5839028358459473 |
| keywords[2].display_name | Software deployment |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5083338618278503 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/ground-truth |
| keywords[4].score | 0.4615170657634735 |
| keywords[4].display_name | Ground truth |
| keywords[5].id | https://openalex.org/keywords/measure |
| keywords[5].score | 0.4474051296710968 |
| keywords[5].display_name | Measure (data warehouse) |
| keywords[6].id | https://openalex.org/keywords/bluetooth |
| keywords[6].score | 0.41752058267593384 |
| keywords[6].display_name | Bluetooth |
| keywords[7].id | https://openalex.org/keywords/real-time-computing |
| keywords[7].score | 0.4163810610771179 |
| keywords[7].display_name | Real-time computing |
| keywords[8].id | https://openalex.org/keywords/data-mining |
| keywords[8].score | 0.2773256003856659 |
| keywords[8].display_name | Data mining |
| keywords[9].id | https://openalex.org/keywords/telecommunications |
| keywords[9].score | 0.2377791404724121 |
| keywords[9].display_name | Telecommunications |
| keywords[10].id | https://openalex.org/keywords/engineering |
| keywords[10].score | 0.1911182403564453 |
| keywords[10].display_name | Engineering |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.1625899076461792 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/world-wide-web |
| keywords[12].score | 0.12278327345848083 |
| keywords[12].display_name | World Wide Web |
| keywords[13].id | https://openalex.org/keywords/architectural-engineering |
| keywords[13].score | 0.10966429114341736 |
| keywords[13].display_name | Architectural engineering |
| keywords[14].id | https://openalex.org/keywords/wireless |
| keywords[14].score | 0.10925379395484924 |
| keywords[14].display_name | Wireless |
| keywords[15].id | https://openalex.org/keywords/operating-system |
| keywords[15].score | 0.1091623306274414 |
| keywords[15].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.2196/preprints.19874 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2196/preprints.19874 |
| locations[1].id | pmh:oai:jupiter.its.unimelb.edu.au:11343/260508 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306402500 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Minerva Access (University of Melbourne) |
| locations[1].source.host_organization | https://openalex.org/I165779595 |
| locations[1].source.host_organization_name | University of Melbourne |
| locations[1].source.host_organization_lineage | https://openalex.org/I165779595 |
| locations[1].license | |
| locations[1].pdf_url | http://hdl.handle.net/11343/260508 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Preprint |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/11343/260508 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5076000692 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9465-8548 |
| authorships[0].author.display_name | Gabriele Marini |
| authorships[0].countries | AU |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[0].institutions[0].id | https://openalex.org/I165779595 |
| authorships[0].institutions[0].ror | https://ror.org/01ej9dk98 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I165779595 |
| authorships[0].institutions[0].country_code | AU |
| authorships[0].institutions[0].display_name | The University of Melbourne |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Gabriele Marini |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | University of Melbourne, Melbourne, Australia |
| authorships[1].author.id | https://openalex.org/A5002217875 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-7831-2632 |
| authorships[1].author.display_name | Benjamin Tag |
| authorships[1].countries | AU |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[1].institutions[0].id | https://openalex.org/I165779595 |
| authorships[1].institutions[0].ror | https://ror.org/01ej9dk98 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I165779595 |
| authorships[1].institutions[0].country_code | AU |
| authorships[1].institutions[0].display_name | The University of Melbourne |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Benjamin Tag |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Melbourne, Melbourne, Australia |
| authorships[2].author.id | https://openalex.org/A5023644163 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0117-0322 |
| authorships[2].author.display_name | Jorge Gonçalves |
| authorships[2].countries | AU |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[2].institutions[0].id | https://openalex.org/I165779595 |
| authorships[2].institutions[0].ror | https://ror.org/01ej9dk98 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I165779595 |
| authorships[2].institutions[0].country_code | AU |
| authorships[2].institutions[0].display_name | The University of Melbourne |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jorge Goncalves |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Melbourne, Melbourne, Australia |
| authorships[3].author.id | https://openalex.org/A5087672786 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-4414-2249 |
| authorships[3].author.display_name | Eduardo Velloso |
| authorships[3].countries | AU |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I160993911 |
| authorships[3].affiliations[1].raw_affiliation_string | Queensland University of Technology, Brisbane, Australia |
| authorships[3].institutions[0].id | https://openalex.org/I160993911 |
| authorships[3].institutions[0].ror | https://ror.org/03pnv4752 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I160993911 |
| authorships[3].institutions[0].country_code | AU |
| authorships[3].institutions[0].display_name | Queensland University of Technology |
| authorships[3].institutions[1].id | https://openalex.org/I165779595 |
| authorships[3].institutions[1].ror | https://ror.org/01ej9dk98 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I165779595 |
| authorships[3].institutions[1].country_code | AU |
| authorships[3].institutions[1].display_name | The University of Melbourne |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Eduardo Velloso |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Queensland University of Technology, Brisbane, Australia, University of Melbourne, Melbourne, Australia |
| authorships[4].author.id | https://openalex.org/A5088135082 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7517-0782 |
| authorships[4].author.display_name | Raja Jurdak |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Raja Jurdak |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5074297656 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-9256-1256 |
| authorships[5].author.display_name | Daniel Capurro |
| authorships[5].countries | AU |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[5].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[5].institutions[0].id | https://openalex.org/I165779595 |
| authorships[5].institutions[0].ror | https://ror.org/01ej9dk98 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I165779595 |
| authorships[5].institutions[0].country_code | AU |
| authorships[5].institutions[0].display_name | The University of Melbourne |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Daniel Capurro |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | University of Melbourne, Melbourne, Australia |
| authorships[6].author.id | https://openalex.org/A5003921022 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-7368-7435 |
| authorships[6].author.display_name | Clare McCarthy |
| authorships[6].countries | AU |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I189966903 |
| authorships[6].affiliations[0].raw_affiliation_string | Northern Health, Melbourne, Australia |
| authorships[6].institutions[0].id | https://openalex.org/I189966903 |
| authorships[6].institutions[0].ror | https://ror.org/009k7c907 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I189966903 |
| authorships[6].institutions[0].country_code | AU |
| authorships[6].institutions[0].display_name | Northern Health |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Clare McCarthy |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Northern Health, Melbourne, Australia |
| authorships[7].author.id | https://openalex.org/A5022354859 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-3992-9437 |
| authorships[7].author.display_name | William Shearer |
| authorships[7].countries | AU |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I189966903 |
| authorships[7].affiliations[0].raw_affiliation_string | Northern Health, Melbourne, Australia |
| authorships[7].institutions[0].id | https://openalex.org/I189966903 |
| authorships[7].institutions[0].ror | https://ror.org/009k7c907 |
| authorships[7].institutions[0].type | healthcare |
| authorships[7].institutions[0].lineage | https://openalex.org/I189966903 |
| authorships[7].institutions[0].country_code | AU |
| authorships[7].institutions[0].display_name | Northern Health |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | William Shearer |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Northern Health, Melbourne, Australia |
| authorships[8].author.id | https://openalex.org/A5015873569 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-2804-6038 |
| authorships[8].author.display_name | Vassilis Kostakos |
| authorships[8].countries | AU |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I165779595 |
| authorships[8].affiliations[0].raw_affiliation_string | University of Melbourne, Melbourne, Australia |
| authorships[8].institutions[0].id | https://openalex.org/I165779595 |
| authorships[8].institutions[0].ror | https://ror.org/01ej9dk98 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I165779595 |
| authorships[8].institutions[0].country_code | AU |
| authorships[8].institutions[0].display_name | The University of Melbourne |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Vassilis Kostakos |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | University of Melbourne, Melbourne, Australia |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2196/preprints.19874 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation (Preprint) |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10444 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9951000213623047 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Context-Aware Activity Recognition Systems |
| related_works | https://openalex.org/W4229365511, https://openalex.org/W3131332557, https://openalex.org/W4282043467, https://openalex.org/W2983921325, https://openalex.org/W3045462960, https://openalex.org/W2105697914, https://openalex.org/W4220926637, https://openalex.org/W100995625, https://openalex.org/W1988399016, https://openalex.org/W2974316631 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.2196/preprints.19874 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2196/preprints.19874 |
| primary_location.id | doi:10.2196/preprints.19874 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2196/preprints.19874 |
| publication_date | 2020-05-05 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2917054631, https://openalex.org/W2094903560, https://openalex.org/W2171833730, https://openalex.org/W2562522049, https://openalex.org/W47633243, https://openalex.org/W2006036128, https://openalex.org/W1970049226, https://openalex.org/W4301118033, https://openalex.org/W1893431417, https://openalex.org/W2344323166, https://openalex.org/W2099627672, https://openalex.org/W2012739991, https://openalex.org/W2419310614, https://openalex.org/W2122200441, https://openalex.org/W2108227676, https://openalex.org/W1981618707, https://openalex.org/W1495851246, https://openalex.org/W2508195202, https://openalex.org/W2466686752, https://openalex.org/W2296575645, https://openalex.org/W2800116075, https://openalex.org/W2164047159, https://openalex.org/W1647526114, https://openalex.org/W2039656688, https://openalex.org/W1967931674, https://openalex.org/W2793422535, https://openalex.org/W2024669213, https://openalex.org/W2094527347, https://openalex.org/W2922312833, https://openalex.org/W2067997750, https://openalex.org/W3098334768 |
| referenced_works_count | 31 |
| abstract_inverted_index.A | 149 |
| abstract_inverted_index.a | 23, 50, 102, 113, 273 |
| abstract_inverted_index.30 | 116 |
| abstract_inverted_index.55 | 129 |
| abstract_inverted_index.75 | 124 |
| abstract_inverted_index.In | 16, 134, 258 |
| abstract_inverted_index.We | 100, 205 |
| abstract_inverted_index.an | 67 |
| abstract_inverted_index.be | 183 |
| abstract_inverted_index.by | 200 |
| abstract_inverted_index.in | 7, 46, 56, 112, 160, 196, 218 |
| abstract_inverted_index.is | 10, 81 |
| abstract_inverted_index.it | 111 |
| abstract_inverted_index.of | 4, 60, 70, 78, 86, 93, 123, 151, 179, 221, 246, 266 |
| abstract_inverted_index.on | 214 |
| abstract_inverted_index.to | 13, 21, 38, 82, 143, 155, 182, 209, 276 |
| abstract_inverted_index.we | 19, 136, 175, 189, 229 |
| abstract_inverted_index.(17 | 126 |
| abstract_inverted_index.The | 2, 76, 118 |
| abstract_inverted_index.aim | 20, 77 |
| abstract_inverted_index.and | 27, 40, 43, 63, 89, 95, 109, 128, 140, 147, 163, 203, 238, 263, 269, 271 |
| abstract_inverted_index.can | 33, 54, 250 |
| abstract_inverted_index.for | 115, 193 |
| abstract_inverted_index.how | 29, 157, 211 |
| abstract_inverted_index.its | 30 |
| abstract_inverted_index.low | 104 |
| abstract_inverted_index.new | 267 |
| abstract_inverted_index.our | 180 |
| abstract_inverted_index.the | 58, 84, 87, 121, 161, 177, 197, 222, 232 |
| abstract_inverted_index.use | 3 |
| abstract_inverted_index.way | 275 |
| abstract_inverted_index.96%. | 184 |
| abstract_inverted_index.Such | 49 |
| abstract_inverted_index.able | 208 |
| abstract_inverted_index.also | 207 |
| abstract_inverted_index.both | 201 |
| abstract_inverted_index.data | 6, 139, 249 |
| abstract_inverted_index.help | 55 |
| abstract_inverted_index.into | 255 |
| abstract_inverted_index.more | 64 |
| abstract_inverted_index.move | 159 |
| abstract_inverted_index.much | 212 |
| abstract_inverted_index.rich | 252 |
| abstract_inverted_index.room | 44 |
| abstract_inverted_index.show | 28 |
| abstract_inverted_index.that | 231 |
| abstract_inverted_index.them | 142 |
| abstract_inverted_index.they | 165, 260 |
| abstract_inverted_index.this | 17, 79, 132 |
| abstract_inverted_index.used | 141 |
| abstract_inverted_index.were | 153, 206 |
| abstract_inverted_index.<sec> | 0, 74, 98, 170, 243 |
| abstract_inverted_index.Using | 172, 185 |
| abstract_inverted_index.allow | 261 |
| abstract_inverted_index.could | 234 |
| abstract_inverted_index.data, | 174 |
| abstract_inverted_index.days. | 117 |
| abstract_inverted_index.offer | 251 |
| abstract_inverted_index.often | 11 |
| abstract_inverted_index.quick | 262 |
| abstract_inverted_index.rates | 192 |
| abstract_inverted_index.rooms | 62, 195, 220 |
| abstract_inverted_index.spend | 166, 217 |
| abstract_inverted_index.staff | 39, 202, 237 |
| abstract_inverted_index.study | 80 |
| abstract_inverted_index.their | 167, 278 |
| abstract_inverted_index.time, | 213 |
| abstract_inverted_index.time. | 168 |
| abstract_inverted_index.trace | 187 |
| abstract_inverted_index.using | 225 |
| abstract_inverted_index.where | 164 |
| abstract_inverted_index.</sec> | 73, 97, 169, 242, 280 |
| abstract_inverted_index.during | 131 |
| abstract_inverted_index.number | 150 |
| abstract_inverted_index.people | 125, 158 |
| abstract_inverted_index.showed | 230 |
| abstract_inverted_index.staff) | 130 |
| abstract_inverted_index.study, | 18 |
| abstract_inverted_index.system | 26, 88, 108, 119, 145, 181, 233 |
| abstract_inverted_index.uptime | 59 |
| abstract_inverted_index.between | 236 |
| abstract_inverted_index.broadly | 65 |
| abstract_inverted_index.develop | 22 |
| abstract_inverted_index.energy, | 105 |
| abstract_inverted_index.limited | 12 |
| abstract_inverted_index.measure | 83, 210, 277 |
| abstract_inverted_index.period. | 133 |
| abstract_inverted_index.provide | 34, 66, 272 |
| abstract_inverted_index.related | 37 |
| abstract_inverted_index.without | 240 |
| abstract_inverted_index.Analysis | 245 |
| abstract_inverted_index.Finally, | 224 |
| abstract_inverted_index.accuracy | 85, 178 |
| abstract_inverted_index.analyses | 152 |
| abstract_inverted_index.approach | 53 |
| abstract_inverted_index.average, | 215 |
| abstract_inverted_index.clinical | 8, 47 |
| abstract_inverted_index.deployed | 110 |
| abstract_inverted_index.estimate | 156 |
| abstract_inverted_index.facility | 71 |
| abstract_inverted_index.hospital | 114, 162, 198, 256 |
| abstract_inverted_index.improved | 68 |
| abstract_inverted_index.insights | 36, 254 |
| abstract_inverted_index.measures | 92 |
| abstract_inverted_index.mobility | 42, 94, 186 |
| abstract_inverted_index.occupied | 199 |
| abstract_inverted_index.patients | 127, 216, 239 |
| abstract_inverted_index.position | 122 |
| abstract_inverted_index.recorded | 120 |
| abstract_inverted_index.settings | 9 |
| abstract_inverted_index.validate | 144 |
| abstract_inverted_index.Bluetooth | 103 |
| abstract_inverted_index.accuracy. | 148 |
| abstract_inverted_index.addition, | 135 |
| abstract_inverted_index.analysis, | 188 |
| abstract_inverted_index.calculate | 91 |
| abstract_inverted_index.collected | 137 |
| abstract_inverted_index.conducted | 154 |
| abstract_inverted_index.developed | 101 |
| abstract_inverted_index.different | 194, 219 |
| abstract_inverted_index.estimated | 176 |
| abstract_inverted_index.generated | 190 |
| abstract_inverted_index.hospital. | 223 |
| abstract_inverted_index.occupancy | 45, 191 |
| abstract_inverted_index.operating | 61 |
| abstract_inverted_index.patients' | 41 |
| abstract_inverted_index.patients. | 204 |
| abstract_inverted_index.protocols | 270 |
| abstract_inverted_index.real-time | 14 |
| abstract_inverted_index.settings. | 48 |
| abstract_inverted_index.training. | 241 |
| abstract_inverted_index.assessment | 265 |
| abstract_inverted_index.consistent | 264 |
| abstract_inverted_index.deployment | 32 |
| abstract_inverted_index.increasing | 57 |
| abstract_inverted_index.occupancy. | 96 |
| abstract_inverted_index.strategies | 268 |
| abstract_inverted_index.clustering, | 228 |
| abstract_inverted_index.data-driven | 52 |
| abstract_inverted_index.efficiency. | 257 |
| abstract_inverted_index.monitoring. | 15 |
| abstract_inverted_index.operational | 35, 253 |
| abstract_inverted_index.particular, | 259 |
| abstract_inverted_index.performance | 146 |
| abstract_inverted_index.streamlined | 51 |
| abstract_inverted_index.ground-truth | 138, 173 |
| abstract_inverted_index.hierarchical | 227 |
| abstract_inverted_index.localization | 25, 107 |
| abstract_inverted_index.longitudinal | 31 |
| abstract_inverted_index.quantitative | 274 |
| abstract_inverted_index.unsupervised | 226 |
| abstract_inverted_index.utilization. | 72 |
| abstract_inverted_index.differentiate | 235 |
| abstract_inverted_index.longitudinal, | 247 |
| abstract_inverted_index.understanding | 69 |
| abstract_inverted_index.effectiveness. | 279 |
| abstract_inverted_index.location-based | 5, 248 |
| abstract_inverted_index.algorithmically | 90 |
| abstract_inverted_index.proximity-based | 24, 106 |
| abstract_inverted_index.<title>METHODS</title> | 99 |
| abstract_inverted_index.<title>RESULTS</title> | 171 |
| abstract_inverted_index.<title>OBJECTIVE</title> | 75 |
| abstract_inverted_index.<title>BACKGROUND</title> | 1 |
| abstract_inverted_index.<title>CONCLUSIONS</title> | 244 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5076000692 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I165779595 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.22244265 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |