Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch Article Swipe
Kiran Saleem
,
Misbah Saleem
,
Rana Zeeshan Ahmad
,
Abdul Rehman Javed
,
Mamoun Alazab
,
Thippa Reddy Gadekallu
,
Ahmad Suleman
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jsen.2022.3156819
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jsen.2022.3156819
Ambient intelligence plays a crucial role in healthcare situations. It provides a certain way to deal with emergencies to provide the essential resources such as nearest hospitals and emergency stations promptly to avoid deaths. Since the outbreak of Covid-19, several artificial intelligence techniques have been used. However, situation awareness is a key aspect to handling any pandemic situation. The situation-awareness approach gives patients a routine life where they are continuously monitored by caregivers through wearable sensors and alert the practitioners in case of any patient emergency. Therefore, in this paper, we propose a situation-aware mechanism to detect Covid-19 systems early and alert the user to be self-aware regarding the situation to take precautions if the situation seems unlikely to be normal. We provide Belief-Desire-Intention intelligent reasoning mechanism for the system to analyze the situation after acquiring the data from the wearable sensors and alert the user according to their environment. We use the case study for further demonstration of our proposed framework. We model the proposed system by temporal logic and map the system illustration into a simulation tool called NetLogo to determine the results of the proposed system.
Related Topics
Concepts
Smartwatch
Computer science
Wearable computer
Human–computer interaction
NetLogo
Ambient intelligence
Coronavirus disease 2019 (COVID-19)
Key (lock)
Mechanism (biology)
Wearable technology
Computer security
Artificial intelligence
Embedded system
Medicine
Infectious disease (medical specialty)
Pathology
Philosophy
Programming language
Disease
Epistemology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jsen.2022.3156819
- https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdf
- OA Status
- bronze
- Cited By
- 38
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4214830197
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4214830197Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jsen.2022.3156819Digital Object Identifier
- Title
-
Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using SmartwatchWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-03Full publication date if available
- Authors
-
Kiran Saleem, Misbah Saleem, Rana Zeeshan Ahmad, Abdul Rehman Javed, Mamoun Alazab, Thippa Reddy Gadekallu, Ahmad SulemanList of authors in order
- Landing page
-
https://doi.org/10.1109/jsen.2022.3156819Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdfDirect OA link when available
- Concepts
-
Smartwatch, Computer science, Wearable computer, Human–computer interaction, NetLogo, Ambient intelligence, Coronavirus disease 2019 (COVID-19), Key (lock), Mechanism (biology), Wearable technology, Computer security, Artificial intelligence, Embedded system, Medicine, Infectious disease (medical specialty), Pathology, Philosophy, Programming language, Disease, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
38Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 3, 2023: 9, 2022: 23Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4214830197 |
|---|---|
| doi | https://doi.org/10.1109/jsen.2022.3156819 |
| ids.doi | https://doi.org/10.1109/jsen.2022.3156819 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36913222 |
| ids.openalex | https://openalex.org/W4214830197 |
| fwci | 4.70408844 |
| type | article |
| title | Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch |
| biblio.issue | 2 |
| biblio.volume | 23 |
| biblio.last_page | 905 |
| biblio.first_page | 898 |
| 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 | 0.9950000047683716 |
| 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/T11512 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9890000224113464 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Anomaly Detection Techniques and Applications |
| topics[2].id | https://openalex.org/T11775 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9848999977111816 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2741 |
| topics[2].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[2].display_name | COVID-19 diagnosis using AI |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C29794715 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7749940752983093 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5362345 |
| concepts[0].display_name | Smartwatch |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7117764949798584 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C150594956 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6833181381225586 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1334829 |
| concepts[2].display_name | Wearable computer |
| concepts[3].id | https://openalex.org/C107457646 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5156994462013245 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[3].display_name | Human–computer interaction |
| concepts[4].id | https://openalex.org/C167221231 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5016336441040039 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q672307 |
| concepts[4].display_name | NetLogo |
| concepts[5].id | https://openalex.org/C201638289 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4949747920036316 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q457396 |
| concepts[5].display_name | Ambient intelligence |
| concepts[6].id | https://openalex.org/C3008058167 |
| concepts[6].level | 4 |
| concepts[6].score | 0.466022253036499 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[6].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[7].id | https://openalex.org/C26517878 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4583103358745575 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[7].display_name | Key (lock) |
| concepts[8].id | https://openalex.org/C89611455 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4444875419139862 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q6804646 |
| concepts[8].display_name | Mechanism (biology) |
| concepts[9].id | https://openalex.org/C54290928 |
| concepts[9].level | 3 |
| concepts[9].score | 0.42920833826065063 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q4845080 |
| concepts[9].display_name | Wearable technology |
| concepts[10].id | https://openalex.org/C38652104 |
| concepts[10].level | 1 |
| concepts[10].score | 0.39058366417884827 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[10].display_name | Computer security |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3886914551258087 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C149635348 |
| concepts[12].level | 1 |
| concepts[12].score | 0.14156824350357056 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[12].display_name | Embedded system |
| concepts[13].id | https://openalex.org/C71924100 |
| concepts[13].level | 0 |
| concepts[13].score | 0.11034271121025085 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[13].display_name | Medicine |
| concepts[14].id | https://openalex.org/C524204448 |
| concepts[14].level | 3 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[14].display_name | Infectious disease (medical specialty) |
| concepts[15].id | https://openalex.org/C142724271 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[15].display_name | Pathology |
| concepts[16].id | https://openalex.org/C138885662 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[16].display_name | Philosophy |
| concepts[17].id | https://openalex.org/C199360897 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[17].display_name | Programming language |
| concepts[18].id | https://openalex.org/C2779134260 |
| concepts[18].level | 2 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[18].display_name | Disease |
| concepts[19].id | https://openalex.org/C111472728 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[19].display_name | Epistemology |
| keywords[0].id | https://openalex.org/keywords/smartwatch |
| keywords[0].score | 0.7749940752983093 |
| keywords[0].display_name | Smartwatch |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7117764949798584 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/wearable-computer |
| keywords[2].score | 0.6833181381225586 |
| keywords[2].display_name | Wearable computer |
| keywords[3].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[3].score | 0.5156994462013245 |
| keywords[3].display_name | Human–computer interaction |
| keywords[4].id | https://openalex.org/keywords/netlogo |
| keywords[4].score | 0.5016336441040039 |
| keywords[4].display_name | NetLogo |
| keywords[5].id | https://openalex.org/keywords/ambient-intelligence |
| keywords[5].score | 0.4949747920036316 |
| keywords[5].display_name | Ambient intelligence |
| keywords[6].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[6].score | 0.466022253036499 |
| keywords[6].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[7].id | https://openalex.org/keywords/key |
| keywords[7].score | 0.4583103358745575 |
| keywords[7].display_name | Key (lock) |
| keywords[8].id | https://openalex.org/keywords/mechanism |
| keywords[8].score | 0.4444875419139862 |
| keywords[8].display_name | Mechanism (biology) |
| keywords[9].id | https://openalex.org/keywords/wearable-technology |
| keywords[9].score | 0.42920833826065063 |
| keywords[9].display_name | Wearable technology |
| keywords[10].id | https://openalex.org/keywords/computer-security |
| keywords[10].score | 0.39058366417884827 |
| keywords[10].display_name | Computer security |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.3886914551258087 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/embedded-system |
| keywords[12].score | 0.14156824350357056 |
| keywords[12].display_name | Embedded system |
| keywords[13].id | https://openalex.org/keywords/medicine |
| keywords[13].score | 0.11034271121025085 |
| keywords[13].display_name | Medicine |
| language | en |
| locations[0].id | doi:10.1109/jsen.2022.3156819 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S189694085 |
| locations[0].source.issn | 1530-437X, 1558-1748 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1530-437X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | IEEE Sensors Journal |
| locations[0].source.host_organization | https://openalex.org/P4310321027 |
| locations[0].source.host_organization_name | IEEE Sensors Council |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310321027 |
| locations[0].license | |
| locations[0].pdf_url | https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Sensors Journal |
| locations[0].landing_page_url | https://doi.org/10.1109/jsen.2022.3156819 |
| locations[1].id | pmid:36913222 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| 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 | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | IEEE sensors journal |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36913222 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:9983688 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | IEEE Sens J |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9983688 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5064350133 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0278-6492 |
| authorships[0].author.display_name | Kiran Saleem |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I27357992 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Software, Dalian University of Technology, Dalian, China |
| authorships[0].institutions[0].id | https://openalex.org/I27357992 |
| authorships[0].institutions[0].ror | https://ror.org/023hj5876 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I27357992 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Dalian University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Kiran Saleem |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Software, Dalian University of Technology, Dalian, China |
| authorships[1].author.id | https://openalex.org/A5073019766 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Misbah Saleem |
| authorships[1].countries | PK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I142204992 |
| authorships[1].affiliations[0].raw_affiliation_string | Institute of Diet and Nutritional Science, University of Lahore, Lahore, Pakistan |
| authorships[1].institutions[0].id | https://openalex.org/I142204992 |
| authorships[1].institutions[0].ror | https://ror.org/051jrjw38 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I142204992 |
| authorships[1].institutions[0].country_code | PK |
| authorships[1].institutions[0].display_name | University of Lahore |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Misbah Saleem |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Institute of Diet and Nutritional Science, University of Lahore, Lahore, Pakistan |
| authorships[2].author.id | https://openalex.org/A5011953315 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Rana Zeeshan Ahmad |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I87445476 |
| authorships[2].affiliations[0].raw_affiliation_string | Xi’an Jiaotong University, Xi’an, China |
| authorships[2].institutions[0].id | https://openalex.org/I87445476 |
| authorships[2].institutions[0].ror | https://ror.org/017zhmm22 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I87445476 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Xi'an Jiaotong University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Rana Zeeshan Ahmad |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Xi’an Jiaotong University, Xi’an, China |
| authorships[3].author.id | https://openalex.org/A5069580698 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0570-1813 |
| authorships[3].author.display_name | Abdul Rehman Javed |
| authorships[3].countries | PK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I899713450 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Cyber Security, Air University, Islamabad, Pakistan |
| authorships[3].institutions[0].id | https://openalex.org/I899713450 |
| authorships[3].institutions[0].ror | https://ror.org/03yfe9v83 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I899713450 |
| authorships[3].institutions[0].country_code | PK |
| authorships[3].institutions[0].display_name | Air University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Abdul Rehman Javed |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Cyber Security, Air University, Islamabad, Pakistan |
| authorships[4].author.id | https://openalex.org/A5018409592 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1928-3704 |
| authorships[4].author.display_name | Mamoun Alazab |
| authorships[4].countries | AU |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I29894533 |
| authorships[4].affiliations[0].raw_affiliation_string | College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia |
| authorships[4].institutions[0].id | https://openalex.org/I29894533 |
| authorships[4].institutions[0].ror | https://ror.org/048zcaj52 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I29894533 |
| authorships[4].institutions[0].country_code | AU |
| authorships[4].institutions[0].display_name | Charles Darwin University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Mamoun Alazab |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia |
| authorships[5].author.id | https://openalex.org/A5041854978 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Thippa Reddy Gadekallu |
| authorships[5].countries | IN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I876193797 |
| authorships[5].affiliations[0].raw_affiliation_string | Vellore Institute of Technology, Vellore, Tamil Nadu, India |
| authorships[5].institutions[0].id | https://openalex.org/I876193797 |
| authorships[5].institutions[0].ror | https://ror.org/00qzypv28 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I876193797 |
| authorships[5].institutions[0].country_code | IN |
| authorships[5].institutions[0].display_name | Vellore Institute of Technology University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Thippa Reddy Gadekallu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Vellore Institute of Technology, Vellore, Tamil Nadu, India |
| authorships[6].author.id | https://openalex.org/A5030095131 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Ahmad Suleman |
| authorships[6].countries | PK |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I172780181 |
| authorships[6].affiliations[0].raw_affiliation_string | Center of Excellence in Solid State Physics, University of Punjab, Lahore, Pakistan |
| authorships[6].institutions[0].id | https://openalex.org/I172780181 |
| authorships[6].institutions[0].ror | https://ror.org/011maz450 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I172780181 |
| authorships[6].institutions[0].country_code | PK |
| authorships[6].institutions[0].display_name | University of the Punjab |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Ahmad Suleman |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Center of Excellence in Solid State Physics, University of Punjab, Lahore, Pakistan |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdf |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-03-05T00:00:00 |
| display_name | Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch |
| has_fulltext | True |
| 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 | 0.9950000047683716 |
| 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/W4285587629, https://openalex.org/W2765158217, https://openalex.org/W2993132146, https://openalex.org/W3047531582, https://openalex.org/W2599755607, https://openalex.org/W3090300519, https://openalex.org/W2514492205, https://openalex.org/W4250401876, https://openalex.org/W2756171776, https://openalex.org/W2971637278 |
| cited_by_count | 38 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 9 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 23 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1109/jsen.2022.3156819 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S189694085 |
| best_oa_location.source.issn | 1530-437X, 1558-1748 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1530-437X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | IEEE Sensors Journal |
| best_oa_location.source.host_organization | https://openalex.org/P4310321027 |
| best_oa_location.source.host_organization_name | IEEE Sensors Council |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310321027 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Sensors Journal |
| best_oa_location.landing_page_url | https://doi.org/10.1109/jsen.2022.3156819 |
| primary_location.id | doi:10.1109/jsen.2022.3156819 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S189694085 |
| primary_location.source.issn | 1530-437X, 1558-1748 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1530-437X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | IEEE Sensors Journal |
| primary_location.source.host_organization | https://openalex.org/P4310321027 |
| primary_location.source.host_organization_name | IEEE Sensors Council |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310321027 |
| primary_location.license | |
| primary_location.pdf_url | https://ieeexplore.ieee.org/ielx7/7361/10017147/09727137.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Sensors Journal |
| primary_location.landing_page_url | https://doi.org/10.1109/jsen.2022.3156819 |
| publication_date | 2022-03-03 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3120232661, https://openalex.org/W3095681026, https://openalex.org/W3165917638, https://openalex.org/W3095552906, https://openalex.org/W3143245897, https://openalex.org/W3136958495, https://openalex.org/W3009973953, https://openalex.org/W2531421640, https://openalex.org/W3164112554, https://openalex.org/W3163126358, https://openalex.org/W6775630084, https://openalex.org/W6775122831, https://openalex.org/W3036763743, https://openalex.org/W3126956414, https://openalex.org/W3011716991, https://openalex.org/W3009946390, https://openalex.org/W3011771926, https://openalex.org/W3183625236, https://openalex.org/W2080756123, https://openalex.org/W2119434118, https://openalex.org/W3169222089, https://openalex.org/W3119304314, https://openalex.org/W2739716598, https://openalex.org/W2347055400, https://openalex.org/W4233495392, https://openalex.org/W1569308180, https://openalex.org/W2934096610, https://openalex.org/W6729979171, https://openalex.org/W3121263745, https://openalex.org/W3183791252, https://openalex.org/W6877231401, https://openalex.org/W3121555817, https://openalex.org/W3012054129, https://openalex.org/W3014789701 |
| referenced_works_count | 34 |
| abstract_inverted_index.a | 3, 11, 50, 63, 92, 176 |
| abstract_inverted_index.It | 9 |
| abstract_inverted_index.We | 121, 150, 162 |
| abstract_inverted_index.as | 24 |
| abstract_inverted_index.be | 105, 119 |
| abstract_inverted_index.by | 71, 167 |
| abstract_inverted_index.if | 113 |
| abstract_inverted_index.in | 6, 80, 87 |
| abstract_inverted_index.is | 49 |
| abstract_inverted_index.of | 37, 82, 158, 185 |
| abstract_inverted_index.to | 14, 18, 31, 53, 95, 104, 110, 118, 130, 147, 181 |
| abstract_inverted_index.we | 90 |
| abstract_inverted_index.The | 58 |
| abstract_inverted_index.and | 27, 76, 100, 142, 170 |
| abstract_inverted_index.any | 55, 83 |
| abstract_inverted_index.are | 68 |
| abstract_inverted_index.for | 127, 155 |
| abstract_inverted_index.key | 51 |
| abstract_inverted_index.map | 171 |
| abstract_inverted_index.our | 159 |
| abstract_inverted_index.the | 20, 35, 78, 102, 108, 114, 128, 132, 136, 139, 144, 152, 164, 172, 183, 186 |
| abstract_inverted_index.use | 151 |
| abstract_inverted_index.way | 13 |
| abstract_inverted_index.been | 44 |
| abstract_inverted_index.case | 81, 153 |
| abstract_inverted_index.data | 137 |
| abstract_inverted_index.deal | 15 |
| abstract_inverted_index.from | 138 |
| abstract_inverted_index.have | 43 |
| abstract_inverted_index.into | 175 |
| abstract_inverted_index.life | 65 |
| abstract_inverted_index.role | 5 |
| abstract_inverted_index.such | 23 |
| abstract_inverted_index.take | 111 |
| abstract_inverted_index.they | 67 |
| abstract_inverted_index.this | 88 |
| abstract_inverted_index.tool | 178 |
| abstract_inverted_index.user | 103, 145 |
| abstract_inverted_index.with | 16 |
| abstract_inverted_index.Since | 34 |
| abstract_inverted_index.after | 134 |
| abstract_inverted_index.alert | 77, 101, 143 |
| abstract_inverted_index.avoid | 32 |
| abstract_inverted_index.early | 99 |
| abstract_inverted_index.gives | 61 |
| abstract_inverted_index.logic | 169 |
| abstract_inverted_index.model | 163 |
| abstract_inverted_index.plays | 2 |
| abstract_inverted_index.seems | 116 |
| abstract_inverted_index.study | 154 |
| abstract_inverted_index.their | 148 |
| abstract_inverted_index.used. | 45 |
| abstract_inverted_index.where | 66 |
| abstract_inverted_index.aspect | 52 |
| abstract_inverted_index.called | 179 |
| abstract_inverted_index.detect | 96 |
| abstract_inverted_index.paper, | 89 |
| abstract_inverted_index.system | 129, 166, 173 |
| abstract_inverted_index.Ambient | 0 |
| abstract_inverted_index.NetLogo | 180 |
| abstract_inverted_index.analyze | 131 |
| abstract_inverted_index.certain | 12 |
| abstract_inverted_index.crucial | 4 |
| abstract_inverted_index.deaths. | 33 |
| abstract_inverted_index.further | 156 |
| abstract_inverted_index.nearest | 25 |
| abstract_inverted_index.normal. | 120 |
| abstract_inverted_index.patient | 84 |
| abstract_inverted_index.propose | 91 |
| abstract_inverted_index.provide | 19, 122 |
| abstract_inverted_index.results | 184 |
| abstract_inverted_index.routine | 64 |
| abstract_inverted_index.sensors | 75, 141 |
| abstract_inverted_index.several | 39 |
| abstract_inverted_index.system. | 188 |
| abstract_inverted_index.systems | 98 |
| abstract_inverted_index.through | 73 |
| abstract_inverted_index.Covid-19 | 97 |
| abstract_inverted_index.However, | 46 |
| abstract_inverted_index.approach | 60 |
| abstract_inverted_index.handling | 54 |
| abstract_inverted_index.outbreak | 36 |
| abstract_inverted_index.pandemic | 56 |
| abstract_inverted_index.patients | 62 |
| abstract_inverted_index.promptly | 30 |
| abstract_inverted_index.proposed | 160, 165, 187 |
| abstract_inverted_index.provides | 10 |
| abstract_inverted_index.stations | 29 |
| abstract_inverted_index.temporal | 168 |
| abstract_inverted_index.unlikely | 117 |
| abstract_inverted_index.wearable | 74, 140 |
| abstract_inverted_index.Covid-19, | 38 |
| abstract_inverted_index.according | 146 |
| abstract_inverted_index.acquiring | 135 |
| abstract_inverted_index.awareness | 48 |
| abstract_inverted_index.determine | 182 |
| abstract_inverted_index.emergency | 28 |
| abstract_inverted_index.essential | 21 |
| abstract_inverted_index.hospitals | 26 |
| abstract_inverted_index.mechanism | 94, 126 |
| abstract_inverted_index.monitored | 70 |
| abstract_inverted_index.reasoning | 125 |
| abstract_inverted_index.regarding | 107 |
| abstract_inverted_index.resources | 22 |
| abstract_inverted_index.situation | 47, 109, 115, 133 |
| abstract_inverted_index.Therefore, | 86 |
| abstract_inverted_index.artificial | 40 |
| abstract_inverted_index.caregivers | 72 |
| abstract_inverted_index.emergency. | 85 |
| abstract_inverted_index.framework. | 161 |
| abstract_inverted_index.healthcare | 7 |
| abstract_inverted_index.self-aware | 106 |
| abstract_inverted_index.simulation | 177 |
| abstract_inverted_index.situation. | 57 |
| abstract_inverted_index.techniques | 42 |
| abstract_inverted_index.emergencies | 17 |
| abstract_inverted_index.intelligent | 124 |
| abstract_inverted_index.precautions | 112 |
| abstract_inverted_index.situations. | 8 |
| abstract_inverted_index.continuously | 69 |
| abstract_inverted_index.environment. | 149 |
| abstract_inverted_index.illustration | 174 |
| abstract_inverted_index.intelligence | 1, 41 |
| abstract_inverted_index.demonstration | 157 |
| abstract_inverted_index.practitioners | 79 |
| abstract_inverted_index.situation-aware | 93 |
| abstract_inverted_index.situation-awareness | 59 |
| abstract_inverted_index.Belief-Desire-Intention | 123 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95313187 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |