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An emergence of technological aids using machine learning algorithms to curtail the mounting manifestation of dyspraxia

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Abstract

Dyslexia and Dyspraxia are prevalent learning disabilities that significantly impact individuals’ abilities to read, write, and coordinate movements. Over the years, researchers have developed cognitive models to understand the underlying deficits in both conditions. Dyspraxia, categorized under Developmental Coordination Disorder (DCD), is particularly challenging as motor complications often persist from childhood into adulthood, affecting an individual’s daily functioning. However, existing studies have predominantly focused on the perspectives of experts and parents, neglecting the valuable insights of affected teenagers. In India, Dyspraxia is still an emerging concern, with limited resources and infrastructures available for these special children. Additionally, Dyslexia affects approximately 15% of the population in the country, leading to significant learning difficulties. This research aims to harness technological advancements to address these challenges and empower individuals to cope with the demands of today’s materialistic world. The proposed system targets various stakeholders, including parents, special school trainers, physiotherapists, occupational therapists, medical doctors, orthoptists, and speech and language therapists. A key feature of this system is the utilization of a modified Random Forest (RF) algorithm. This advanced machine learning approach plays a pivotal role in allocating characteristic significance and minimizing amplitude, enhancing the accuracy, precision, and recall of the algorithm to 78%, 0.85, and 0.71, respectively. By leveraging cutting-edge technology and machine learning techniques, this research endeavors to pave the way for improved understanding, early intervention, and customized support for individuals with Dyslexia and Dyspraxia in India. These technological aids hold the potential to positively impact the lives of those affected, facilitating better integration and enhanced quality of life in the face of these learning disabilities.

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Authors and Affiliations

  1. Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    S. Balakrishnan

  2. Department of Information Technology, Saveetha Engineering College, Thandalam, Chennai, India

    K. Suresh Kumar

  3. Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    J. Janet

  4. School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    D. Vijendra Babu

  5. Faculty of Basic & Applied Sciences, Vivekananda Global University, Jaipur, India

    Chandra Prakash Lora

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Correspondence to S. Balakrishnan.

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Balakrishnan, S., Kumar, K.S., Janet, J. et al. An emergence of technological aids using machine learning algorithms to curtail the mounting manifestation of dyspraxia. Multimed Tools Appl 83, 26089–26105 (2024). https://doi.org/10.1007/s11042-023-16464-w

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  • DOI: https://doi.org/10.1007/s11042-023-16464-w

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