Tejasvi, P and Kumar, T (2024) A Smart System Facilitating Emotional Regulation in Neurodivergent Children. In: ICMLDE 2023, 23 November 2023through 24 November 2023, Dehradun, pp. 3257-3270.
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Abstract
This paper acknowledges the need for a user-centric solution that helps with emotional regulation and stress management in children with ADHD. The paper presents a unique and comprehensive solution that integrates Reinforcement Learning (RL) algorithms to enhance user experience and aid children with ADHD to regulate their emotions and behaviours through a reward-based system. Through careful analysis of existing literature, and user requirements assessment, a comprehensive framework that integrates machine learning algorithms, physical and digital solution components through a user-centric design approach has been proposed. The core objective is to design and develop a sensory regulation system specifically tailored to the requirements of children with ADHD. Through the development of an engaging and impactful sensory regulation system, children can experience social and academic aspects of school positively while also having the opportunity to expand their social circle through inclusive play environments and ultimately improving their daily experiences. This paper aims to address the imminent need for emotional regulation and stress management tools catering to children with ADHD. By incorporating Reinforcement Learning (RL) algorithms with a reward-based interaction, this paper aims to solve critical challenges faced by children with ADHD, like emotional regulation difficulties, stress management, poor social skills, and academic performance issues so that they can lead more holistic lives. © 2024 Elsevier B.V.. All rights reserved.
| Item Type: | Conference Paper |
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| Publication: | Procedia Computer Science |
| Publisher: | Elsevier B.V. |
| Additional Information: | The copyright for this article belongs to the authors. |
| Keywords: | Learning algorithms; Machine components; Reinforcement learning, ADHD; Child; Emotional regulation; Fidget toy; Neurodivergence; Reinforcement learnin; Reinforcement learning algorithms; Reward systems; Smart System; Stress management, Toys |
| Department/Centre: | Division of Mechanical Sciences > Department of Design & Manufacturing (formerly Centre for Product Design & Manufacturing) |
| Date Deposited: | 31 Jul 2024 04:56 |
| Last Modified: | 31 Jul 2024 04:56 |
| URI: | http://eprints.iisc.ac.in/id/eprint/85653 |
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