Short sensory profile assessment system for autism children

Din, Nur Atikah and Abdul Rashid, Nur Ziana Syuhadah and Zakaria, Noor Azura (2023) Short sensory profile assessment system for autism children. International Journal on Perceptiveand Cognitive Computing (IJPCC), 9 (2). pp. 104-108. E-ISSN 2462-229X

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Abstract

Autism Spectrum Disorders (ASD) are life-long neurodevelopmental disorders characterized by impairment in reciprocal social interactions, impairment in verbal and non-verbal communication skills, and restricted repetitive and stereotyped patterns of behaviour, interests and activities.Children with ASD normally shows the sensory impairment and struggles to process sensory data.Short Sensory Profile (SSP) is an assessment tool which is widely used to identify whether the autism children have exhibited thesensory disorder. There are sevenparts of the questionnaire which are tactile sensitivity, taste/ smell sensitivity, movement sensitivity, under responsive/seeks sensation, auditory filtering, low energy/ weak and visual auditory sensitivity.The problem with the current system is that the assessment is being done manuallywhereby itrequires the therapist to spend more time and effort to get the results. Therefore, by providing a web-based SSP assessment system, it willease thetherapist to automate the manual process and receive the output easily. In addition, the profile of the patient can be stored digitally and can be referred for future reference of developing and revisit the therapy plan.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Short Sensory Profile Autism Web-based System
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Noor Azura Zakaria
Date Deposited:	25 Sep 2023 10:00
Last Modified:	25 Sep 2023 10:01
URI:	http://irep.iium.edu.my/id/eprint/107057

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