Cite this DOI

Patil, D. S., Rahane, W., & Rathore, J. (2021). Pain Detection Using Face Expression. *Journal of Science & Technology*, *06*(01), 352–357. https://doi.org/10.46243/jst.2021.v6.i0pp352-357

@article{patil2021pain,
  author    = {Patil, Dr. Shivprasad and Rahane, Wasudeo and Rathore, Jayant},
  title     = {{Pain Detection Using Face Expression}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {352--357},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i0pp352-357},
  url       = {https://doi.org/10.46243/jst.2021.v6.i0pp352-357},
  language  = {en},
  abstract  = {The basic idea of this project is to build an interactive system among software that takes some mandatory inputs to recognize the symptoms and stress level of a person and hardware that tells about brain signals and pain intensity of that person. Affective computing research field is growing on large scale with the frequent development of human computer application. These application use information of mental or affective condition of the desired subject to train their brain responses. Usually classification algorithm is used for text physiology, vocal, expression of face and other accumulation. Pain may be a personal, particular experience that’s normally evaluated through graphical analog scales. Generally it’s appropriate and functional, machine-driven system of pain detection that can reduce pain score attainment exertions in big scale studies by guessing it directly from the contributors’ facial expressions. Face plays significant role in social communication. This is a ‘window’ to human personality, emotion and thoughts. Many times, body languages and particularly facial expressions, tell us quite about one’s state of mind.}
}

TY  - JOUR
TI  - Pain Detection Using Face Expression
AU  - Patil, Dr. Shivprasad
AU  - Rahane, Wasudeo
AU  - Rathore, Jayant
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 352
EP  - 357
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The basic idea of this project is to build an interactive system among software that takes some mandatory inputs to recognize the symptoms and stress level of a person and hardware that tells about brain signals and pain intensity of that person. Affective computing research field is growing on large scale with the frequent development of human computer application. These application use information of mental or affective condition of the desired subject to train their brain responses. Usually classification algorithm is used for text physiology, vocal, expression of face and other accumulation. Pain may be a personal, particular experience that’s normally evaluated through graphical analog scales. Generally it’s appropriate and functional, machine-driven system of pain detection that can reduce pain score attainment exertions in big scale studies by guessing it directly from the contributors’ facial expressions. Face plays significant role in social communication. This is a ‘window’ to human personality, emotion and thoughts. Many times, body languages and particularly facial expressions, tell us quite about one’s state of mind.
DO  - 10.46243/jst.2021.v6.i0pp352-357
UR  - https://doi.org/10.46243/jst.2021.v6.i0pp352-357
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i0pp352-357",
    "title": "Pain Detection Using Face Expression",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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    "language": "en",
    "abstract": "The basic idea of this project is to build an interactive system among software that takes some mandatory inputs to recognize the symptoms and stress level of a person and hardware that tells about brain signals and pain intensity of that person. Affective computing research field is growing on large scale with the frequent development of human computer application. These application use information of mental or affective condition of the desired subject to train their brain responses. Usually classification algorithm is used for text physiology, vocal, expression of face and other accumulation. Pain may be a personal, particular experience that’s normally evaluated through graphical analog scales. Generally it’s appropriate and functional, machine-driven system of pain detection that can reduce pain score attainment exertions in big scale studies by guessing it directly from the contributors’ facial expressions. Face plays significant role in social communication. This is a ‘window’ to human personality, emotion and thoughts. Many times, body languages and particularly facial expressions, tell us quite about one’s state of mind.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i0pp352-357 gives all four in one JSON answer.