Smart sensing system for human emotion and behaviour recognition

N. K. Suryadevara*, T. Quazi, Subhas C. Mukhopadhyay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

Abstract

In this study, we reported a smart sensing system for detecting Human Emotion and Behaviour Recognition. The inhabitant emotions are sensed based on information from the physiological sensors as happiness, sadness, stressed and neutral. Also, we defined two new wellness functions to determine the regularity of house-hold activities and foresee changes in the domestic activity behaviour. Developed intelligent program was tested at different elderly houses living alone and the results are encouraging. The developed system is less cost, reliable and robust in realizing functional condition of the inhabitant both emotionally and physically.

Original languageEnglish
Title of host publicationPerception and Machine Intelligence
Subtitle of host publicationFirst Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2012: Proceedings
EditorsMalay K. Kundu, Sushmita Mitra, Debasis Mazumdar, Sankar K. Pal
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages11-22
Number of pages12
ISBN (Electronic)9783642273872
ISBN (Print)9783642273865
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event1st Indo-Japan Conference on Perception and Machine Intelligence, PerMIn 2012 - Kolkata, India
Duration: 12 Jan 201213 Jan 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7143 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st Indo-Japan Conference on Perception and Machine Intelligence, PerMIn 2012
Country/TerritoryIndia
CityKolkata
Period12/01/1213/01/12

Keywords

  • activities of daily living
  • human emotion
  • smart home
  • wellness
  • wireless sensor networks

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