IoT-driven Sensory Assessment for Autism: A Path to Personalized Intervention

Abstract

Autism Spectrum Disorder (ASD) presents profound challenges in sensory processing, rooted in differences in brain functionality rather than the mere disorder. Neuroscientific research has highlighted alterations in neural circuits and connectivity patterns underlying sensory processing differences in individuals with ASD. These neurobiological insights provide a foundation for understanding the diverse sensory experiences observed in ASD. This paper proposes an innovative approach to sensory assessment using Internet of Things (IoT) technology, aiming to bridge the gap between neurobiological understanding and clinical practice. By integrating neuroscience principles into sensory assessment, we seek to develop a more nuanced understanding of the underlying brain mechanisms driving sensory processing differences in ASD. This approach aims to facilitate personalized interventions that target specific neural circuits implicated in sensory processing abnormalities in individuals with ASD. IoT sensors are deployed in everyday environments to collect real-time data on sensory responses. Machine learning algorithms, informed by neuroscientific principles, analyze this data to generate personalized profiles of sensory sensitivities and preferences for individuals with ASD. By incorporating neurobiological markers, such as alterations in functional connectivity or neural response patterns, our approach aims to elucidate the neurobiological basis of sensory processing differences in ASD. By employing IoT-driven sensory assessment informed by neuroscience, our approach provides insights into the underlying neural mechanisms driving sensory processing differences in ASD. This enables the development of targeted intervention strategies that aim to modulate specific neural circuits implicated in sensory abnormalities. Our findings offer promise for improving the effectiveness of interventions and enhancing the quality of life for individuals with ASD. Leveraging IoT technology and neuroscience principles in sensory assessment offers a novel approach to understanding and addressing the complex sensory challenges associated with ASD. By elucidating the neurobiological underpinnings of sensory processing differences, this approach paves the way for personalized and adaptive interventions that target specific neural circuits, ultimately leading to improved outcomes for individuals with ASD.