Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287980553> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4287980553 endingPage "349" @default.
- W4287980553 startingPage "341" @default.
- W4287980553 abstract "At present, in every corner of the world, including developing and developed, countries got affected by infectious diseases such as the COVID-19 virus. Our objective was to create a real-time pain detection for everyone that can use it by themselves before going to the hospital. In this research, we used a dataset from the University of Northern British Columbia (UNBC) and the Japanese Female Facial Expression (JAFFE) as a training set. Furthermore, we used unseen data from webcam or video as a testing set. In our system, pain is divided into three categories: mild, moderate-to-severe-to-painful, and severe. The system’s efficiency was assessed by contrasting its results with those of a highly qualified physician. Classification accuracy rates were 96.71, 92.16, and 98.40% for the not hurting, getting uncomfortable, and painful categories. To summarize, our research has created a simple, cost-effective, and readily understood alternate method for the general public and healthcare professionals to screen for pain before admission." @default.
- W4287980553 created "2022-07-26" @default.
- W4287980553 creator A5061197364 @default.
- W4287980553 creator A5077738851 @default.
- W4287980553 creator A5080524524 @default.
- W4287980553 date "2022-07-27" @default.
- W4287980553 modified "2023-09-27" @default.
- W4287980553 title "Real-Time Pain Detection Using Deep Convolutional Neural Network for Facial Expression and Motion" @default.
- W4287980553 cites W1978963692 @default.
- W4287980553 cites W2000613743 @default.
- W4287980553 cites W2101545465 @default.
- W4287980553 cites W2106043670 @default.
- W4287980553 cites W2149174813 @default.
- W4287980553 cites W2149663188 @default.
- W4287980553 cites W2615233054 @default.
- W4287980553 cites W2786403656 @default.
- W4287980553 cites W2809598685 @default.
- W4287980553 cites W3005844399 @default.
- W4287980553 cites W3089649820 @default.
- W4287980553 cites W3163124788 @default.
- W4287980553 cites W3193112385 @default.
- W4287980553 doi "https://doi.org/10.1007/978-981-19-1610-6_29" @default.
- W4287980553 hasPublicationYear "2022" @default.
- W4287980553 type Work @default.
- W4287980553 citedByCount "0" @default.
- W4287980553 crossrefType "book-chapter" @default.
- W4287980553 hasAuthorship W4287980553A5061197364 @default.
- W4287980553 hasAuthorship W4287980553A5077738851 @default.
- W4287980553 hasAuthorship W4287980553A5080524524 @default.
- W4287980553 hasConcept C104114177 @default.
- W4287980553 hasConcept C126322002 @default.
- W4287980553 hasConcept C154945302 @default.
- W4287980553 hasConcept C15744967 @default.
- W4287980553 hasConcept C177264268 @default.
- W4287980553 hasConcept C195704467 @default.
- W4287980553 hasConcept C199360897 @default.
- W4287980553 hasConcept C2779134260 @default.
- W4287980553 hasConcept C3008058167 @default.
- W4287980553 hasConcept C41008148 @default.
- W4287980553 hasConcept C524204448 @default.
- W4287980553 hasConcept C58489278 @default.
- W4287980553 hasConcept C71924100 @default.
- W4287980553 hasConcept C81363708 @default.
- W4287980553 hasConcept C99508421 @default.
- W4287980553 hasConceptScore W4287980553C104114177 @default.
- W4287980553 hasConceptScore W4287980553C126322002 @default.
- W4287980553 hasConceptScore W4287980553C154945302 @default.
- W4287980553 hasConceptScore W4287980553C15744967 @default.
- W4287980553 hasConceptScore W4287980553C177264268 @default.
- W4287980553 hasConceptScore W4287980553C195704467 @default.
- W4287980553 hasConceptScore W4287980553C199360897 @default.
- W4287980553 hasConceptScore W4287980553C2779134260 @default.
- W4287980553 hasConceptScore W4287980553C3008058167 @default.
- W4287980553 hasConceptScore W4287980553C41008148 @default.
- W4287980553 hasConceptScore W4287980553C524204448 @default.
- W4287980553 hasConceptScore W4287980553C58489278 @default.
- W4287980553 hasConceptScore W4287980553C71924100 @default.
- W4287980553 hasConceptScore W4287980553C81363708 @default.
- W4287980553 hasConceptScore W4287980553C99508421 @default.
- W4287980553 hasLocation W42879805531 @default.
- W4287980553 hasOpenAccess W4287980553 @default.
- W4287980553 hasPrimaryLocation W42879805531 @default.
- W4287980553 hasRelatedWork W1604550738 @default.
- W4287980553 hasRelatedWork W2748952813 @default.
- W4287980553 hasRelatedWork W2899084033 @default.
- W4287980553 hasRelatedWork W2953116260 @default.
- W4287980553 hasRelatedWork W2997155179 @default.
- W4287980553 hasRelatedWork W3000095492 @default.
- W4287980553 hasRelatedWork W3016488155 @default.
- W4287980553 hasRelatedWork W3081496756 @default.
- W4287980553 hasRelatedWork W3082705149 @default.
- W4287980553 hasRelatedWork W3180630304 @default.
- W4287980553 isParatext "false" @default.
- W4287980553 isRetracted "false" @default.
- W4287980553 workType "book-chapter" @default.