Journal of Electrical Engineering and Automation
IRO Journals
Volume 7 — Issue 1 — March 2025

Design of Hand Assistive Device for Autistic Children

https://doi.org/10.36548/jeea.2025.1.007
Chandru N.
Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
Abinaya M.
Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
Aishwarya B.M.
Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
Krishnaprasath R.
Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
Manjupriya R.
Assistant Professor, Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
Sowmya A.K.
Assistant Professor, Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology (Autonomous), Salem, Tamilnadu, India
PDF
PDF

How to Cite

N., Chandru, Abinaya M., Aishwarya B.M., Krishnaprasath R., Manjupriya R., and Sowmya A.K. 2025. “Design of Hand Assistive Device for Autistic Children”. Journal of Electrical Engineering and Automation 7 (1): 80-90. https://doi.org/10.36548/jeea.2025.1.007.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— ESP8266
— EMG Sensor
— Arduino UNO
— Servo Motor – MG995
— SG90
— IOT
Published: 23-04-2025

Abstract

Autism spectrum disorder (ASD) is a developmental disability related to neurological variations, affecting children's social communication, behavior, learning, and attention. These children often struggle with movement, as they require external support to move their hands and legs. A hand assistive device has been designed to help these children, providing them with movement exercises and physiotherapy. This device also uses EMG (electromyography) sensors to diagnose neuromuscular activities in autistic children. This device is essential for their overall well-being and development.

References

  1. Wen, Ya, and Yuan Yao. "Autism spectrum disorders: the mitochondria connection." Autism Spectrum Disorders[Internet] (2021).
  2. Jemima, D. Darling, A. Grace Selvarani, and J. Daphy Louis Lovenia. "A study on diagnosis of autism spectrum disorder for children." In 2021 3rd International Conference on Signal Processing and Communication (ICPSC), pp. 547-551. IEEE, 2021.
  3. Stevens, Elizabeth, Abigail Atchison, Laura Stevens, Esther Hong, Doreen Granpeesheh, Dennis Dixon, and Erik Linstead. "A cluster analysis of challenging behaviors in autism spectrum disorder." In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 661-666. IEEE, 2017.
  4. Pattini, Elena, and Dolores Rollo. "Response to stress in the parents of children with autism spectrum disorder." In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-7. IEEE, 2016.
  5. Mohamed, Oumaima Ben, and Olfa Souki. "Early Detection of Autism Spectrum Disorder (ASD) in Toddlers Using Behavioral Indicators." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA), pp. 1-6. IEEE, 2024.
  6. Bansode, Subodh, Tanmay Shinde, Satyanarayana Garapati, and Ikhlas Abdel-Qader. "Stereotypic repetitive hand flapping movement detector for children with autism." In 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), pp. 1-5. IEEE, 2019.
  7. Caulfield, Brian, Ann Prendergast, Gary Rainsford, and Conor Minogue. "Self directed homebased electrical muscle stimulation training improves exercise tolerance and strength in healthy elderly." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 7036-7039. IEEE, 2013.)
  8. Wei, Pengyuan, Lin Liu, and Pin Jia. "Position Servo Control Algorithm Based on Optimal Solution Analysis of Motion Control." In 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE), pp. 1998-2002. IEEE, 2024.
  9. Wu, Changcheng, Yuchao Yan, Qingqing Cao, Fei Fei, Dehua Yang, and Aiguo Song. "A low cost surface EMG sensor network for hand motion recognition." In 2018 IEEE 1st International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS), pp. 35-39. IEEE, 2018.
  10. Jani, Abhishek B., Ravi Bagree, and Anil K. Roy. "Design of a low-power, low-cost ECG & EMG sensor for wearable biometric and medical application." In 2017 IEEE SENSORS, pp. 1-3. IEEE, 2017.
  11. Rahman, Akhlaquor, and Adel Al-Jumaily. "Design and development of a bilateral therapeutic hand device for stroke rehabilitation." International Journal of Advanced Robotic Systems 10, no. 12 (2013): 405.
  12. Di Giminiani, Riccardo, Stefania Lancia, Marco Ferrari, Valentina Quaresima, H. Tilma Vistisen, Anders Kliltgaard, R. Arbjerg Heick, K. Oestergard, K. Yndgaard Soerensen, and Marco Cardinale. "A wearable integrated textile EMG and muscle oximetry system for monitoring exercise-induced effects: A feasibility study." In 2018 IEEE International symposium on medical measurements and applications (MeMeA), pp. 1-5. IEEE, 2018.
  13. Ricardez, Gustavo Alfonso Garcia, Atsushi Ito, Ming Ding, Masahiro Yoshikawa, Jun Takamatsu, Yoshio Matsumoto, and Tsukasa Ogasawara. "Wearable device to record hand motions based on EMG and visual information." In 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), pp. 1-6. IEEE, 2018.
  14. Manjupriya, R., C. Maheswari, S. Vaisali, and S. Shankar. "System for Supporting Children with Autism Spectrum Disorder Based on Deep Learning Techniques." In 2023 Innovations in Power and Advanced Computing Technologies (i-PACT), pp. 1-6. IEEE, 2023.