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Original Research

A concept for emotion recognition systems for children with profound intellectual and multiple disabilities based on artificial intelligence using physiological and motion signals

, ORCID Icon, , , &
Pages 1319-1326 | Received 24 Feb 2022, Accepted 16 Jan 2023, Published online: 25 Jan 2023

References

  • Chou YC, Chiao C, Fu LY. Health status, social support, and quality of life among family carers of adults with profound intellectual and multiple disabilities (PIMD) in Taiwan. J Intellect Dev Disabil. 2011;36(1):73–79.
  • Suzuki Y, Tatsuno M, Yamada M. [Seriously handicapped children with intensive medical cares.] J Child Health. 1995;54(3):406–410. Japanese.
  • Mesquita B, Frijda NH. Cultural variations in emotions: a review. Psychol Bull. 1992;112(2):179–204.
  • Hutchison A, Gerstein L. Emotion recognition, emotion expression, and cultural display rules: implications for counseling. J Asia Pac. Couns. 2017;7(1):19–35.
  • Mencap. [Internet]. Communicating with people with profound and multiple learning disabilities (PMLD); [cited 2022 Feb]. Available from: https://www.jpaget.nhs.uk/media/104336/Communicating_with_people_with_PMLD__a_guide__1_.pdf.
  • Adams D, Oliver C. The expression and assessment of emotions and internal states in individuals with severe or profound intellectual disabilities. Clin Psychol Rev. 2011;31(3):293–306.
  • Ekman P, Freisen WV, Ancoli S. Facial signs of emotional experience. J Pers Soc Psychol. 1980;39(6):1125–1134.
  • Nozaki Y, Kawasumi R. [Challenges for teachers instructing children with severe motor and intellectual disabilities and medical care dependent groups]. Annu Bull Grad Sch Educ Tohoku Univ. 2012;60(2):225–241. Japanese.
  • Matsuda T. [Support of school children]. Jpn J Dev Disabil. 2003;25:150–158. Japanese.
  • Okazawa S, Kawasumi R. [Educational approaches to a boy with profound and multiple disabilities]. Jpn Assoc Spec Educ. 2005;43:203–214. Japanese.
  • Abe S, Tsujino M, Nakata S, et al. [Nonverbal communication of children with profound intellectual and multiple disabilities having visual and auditory disorders]. J Jpn Soc Nurs Sci Natl Health Serv. 2007;3(1):38–42. Japanese.
  • Araki H, Iwamoto Y, Arima M. [Development of communication support system for children (persons) with severe motor and intellectual disabilities]. Jpn J Ergon. 2016;52(Suppl):290–291. Japanese.
  • Sesin A, Adjouadi M, Cabrerizo M, et al. Adaptive eye-gaze tracking using neural-network-based user, profiles to assist people with motor disability. J Rehabil Res Dev. 2008;45(6):801–817.
  • Falk TH, Guirgis M, Power S, et al. Taking NIRS-BCIs outside the lab: towards achieving robustness against environment noise. IEEE Trans Neural Syst Rehabil Eng. 2011;19(2):136–146.
  • Harada A, Landay JA, Malkin J, et al. The vocal joystick evaluation of voice-based cursor control techniques for assistive technology. Disabil Rehabil Assist Technol. 2008;3(1):22–34.
  • Struijk LNSA, Lontis ER, Gaihede M, et al. Development and functional demonstration of a wireless intraoral inductive tongue computer interface for severely disabled persons. Disabil Rehabil Assist Technol. 2017;12(6):631–640.
  • Kitajima Y. [Studies on children with severe motor and intellectual disabilities using physiological psychology indices]. Jpn Assoc Spec Educ. 2005;43:225–231. Japanese.
  • Sakamoto K, Sakashita S, Yamashita K, et al. [Effect of TV viewers’ emotional states on physiological and psychological measurements]. Panasonic Tech J. 2013;59(1):29–34. Japanese.
  • Murase C, Kawamoto R, Sugimoto S. [Changing of emotions by the stimulation of visual and auditory senses –an analysis of heart rate variability (HRV)]. J Uoeh. 2004;26(4):461–471. Japanese.
  • Valderas MT, Bolea J, Laguna P, et al. Human emotion recognition using heart rate variability analysis with spectral bands based on respiration. Proc 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2015 Aug 25–29; Milan, Italy. p. 6134–6137.
  • Ooe H, Yamada T, Kobayashi I. [Behavior in person with profound intellectual and multiple disabilities]. Proc Jpn Assoc Spec Educ 43rd Conf; 2005 Sep 23–25; Kanazawa, Japan. p. 222. Japanese.
  • Hayano J, Tanabiki T, Iwata S, et al. Estimation of emotions by wearable biometric sensors under daily activities. Proc IEEE 7th Global Conference on Consumer Electronics (GCCE); 2018 Oct 9–12; Nara, Japan. p. 268–269.
  • Garg A, Chaturvedi V, Kaur AB, et al. Machine learning model for mapping of music mood and human emotion based on physiological signals. Multimed Tools Appl. 2022;81(4):5137–5177.
  • Gąsior JS, Zamunér AR, Silva LEV, et al. Heart rate variability in children and adolescents with cerebral palsy–a systematic literature review. JCM. 2020;9(4):1141.
  • McCarthy J. [Internet]. What is artificial intelligence?; [cited 2022 Sept]. Available from: http://www-formal.stanford.edu/jmc/whatisai/whatisai.html.
  • Arrieta AB, Diaz-Rodriguez N, Ser JD, et al. Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf Fusion. 2020;58:82–115.
  • Hidecker MJ, Paneth N, Rosenbaum PL, et al. Developing and validating the communication function classification system for individuals with cerebral palsy. Dev Med Child Neurol. 2011;53(8):704–710.
  • Palisano R, Rosenbaum P, Walter S, et al. Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev Med Child Neurol. 1997;39(4):214–223.
  • Palisano RJ, Rosenbaum P, Bartlett D, et al. Content validity of the expanded and revised gross motor function classification system. Dev Med Child Neurol. 2008;50(10):744–750.
  • Malik M, Bigger JT, Camm J, et al. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Eur Heart J. 1996;17(3):354–381.
  • Li G, Yu Y. Visual saliency based on multiscale deep features. Proc 2015 IEEE Conference on computer vision and pattern recognition (CVPR); 2015 Jun 7–12; Boston. p.5455–5463.
  • Nakamura H. Back to basics series: biomedical measurement 1 (electromyography). Trans Jpn Soc Med Biol Eng. 2019;57(4,5):149–157.
  • Habe H. [Random forests: fundamentals and recent trends]. J ITE. 2016;70(9):788–791. Japanese.
  • Pedregosa F, Varoquaux G, Gramfort A, et al. Scikit-learn: machine learning in python. J Mach Learn Res. 2011;12:2825–2830.
  • Atkin K, Lorch MP. An ecological method for the sampling of nonverbal signalling behaviours of young children with profound and multiple learning disabilities (PMLD). Dev Neurorehabil. 2016;19(4):211–225.
  • Choi KH, Kim J, Kwon OS, et al. Is heart rate variability (HRV) an adequate tool for evaluating human emotions? A focus on the use of the international affective picture system (IAPS). Psychiatry Res. 2017;251:192–196.
  • Japan Meteorological A. [Internet]. About TCC (Ensemble Prediction System); [cited 2022 Sept] Available from: https://ds.data.jma.go.jp/tcc/tcc/about/products/aboutModel.html.
  • James G, Witten D, Hastie T, et al. An introduction to statistical learning. New York (NY): Springer; 2013.
  • Riquelme I, Rosário RS, Vehmaskoski K, et al. Autonomous nervous system regulation of pain in children with cerebral palsy. Brain Inj. 2021;35(3):356–362.
  • Pagani M, Lombardi F, Guzzetti S, et al. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ Res. 1986;59(2):178–193.
  • Borgestig M, Rytterström P, Hemmingsson H. Gaze-based assistive technology used in daily life by children with severe physical impairments – parents’ experiences. Dev Neurorehabil. 2017;20(5):301–308.

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