Time Series Analyses of the Responses to Sensory Stimuli of Children with Severe and Multiple Disabilities

Eiko Matsuda*, Tatsuki Takenaga, Mamoru Iwabuchi, Kenryu Nakamura

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Severe and multiple disabilities (SMD) refers to the simultaneous occurrence of intellectual and physical problems. SMD in children is difficult to assess, as they often do not have the proper language or bodily responses to represent their feelings. In this study, we propose a methodology for evaluating reactions of children with SMD to sensory stimuli that does not rely on observations by humans, but rather is based on automatic detection of video-recorded data and quan-tification by time-series analyses. We present two case studies with typical participants: one with large body movements (P1) and another with subtle body movements (P2). For P1, it was observed that he showed larger bodily movements just before the onset of tactile stimuli, while he became silent for approximately 10 s after the onset, with the stimuli causing him to reduce self-stimulatory behavior and pay attention to his ex-ternal environment. For P2, two quantitative method-ologies – correlation coefficient and Granger causality – were adopted, to compare behavioral difference during the presentation of either sour or sweet taste stimuli. For the sweet conditions, the movement of the mouth was considered to be generated by some inter-nal causes. Through these experiments, we confirmed the authenticity of assessments made by the partici-pants’ caregivers, and also revealed otherwise unseen behavioral patterns and structures.

Original languageEnglish
Pages (from-to)726-738
Number of pages13
JournalJournal of Robotics and Mechatronics
Volume34
Issue number4
DOIs
Publication statusPublished - 2022 Aug

Keywords

  • Granger causality
  • assistive technologies
  • severe and multiple disabilities
  • time series analyses

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Time Series Analyses of the Responses to Sensory Stimuli of Children with Severe and Multiple Disabilities'. Together they form a unique fingerprint.

Cite this