Facial emotion recognition system for autistic children: a feasible study based on FPGA implementation.
Children with autism spectrum disorder have difficulty in understanding the emotional and mental states from the facial expressions of the people they interact. The inability to understand other people's emotions will hinder their interpersonal communication. Though many facial emotion recognition a...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 53; no. 11; pp. 1221 - 1230 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=110654124&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 110654124 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2015 vid: 53 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 110654124 110654124 NLM26239162 110654124 10.1007/s11517-015-1346-z NLM26239162 110654124 ppf: 1221 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Facial emotion recognition system for autistic children: a feasible study based on FPGA implementation. aug: au: Smitha, K. Vinod, A. Smitha, K G Vinod, A P affil: School of Computer Engineering, Nanyang Technological University, Singapore Singapore sug: subj: Information Science Methods Facial Expression Autism Spectrum Disorder Rehabilitation Emotions Classification Female Algorithms Pilot Studies Factor Analysis Human Female ab: Children with autism spectrum disorder have difficulty in understanding the emotional and mental states from the facial expressions of the people they interact. The inability to understand other people's emotions will hinder their interpersonal communication. Though many facial emotion recognition algorithms have been proposed in the literature, they are mainly intended for processing by a personal computer, which limits their usability in on-the-move applications where portability is desired. The portability of the system will ensure ease of use and real-time emotion recognition and that will aid for immediate feedback while communicating with caretakers. Principal component analysis (PCA) has been identified as the least complex feature extraction algorithm to be implemented in hardware. In this paper, we present a detailed study of the implementation of serial and parallel implementation of PCA in order to identify the most feasible method for realization of a portable emotion detector for autistic children. The proposed emotion recognizer architectures are implemented on Virtex 7 XC7VX330T FFG1761-3 FPGA. We achieved 82.3% detection accuracy for a word length of 8 bits. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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