Stereotypic Repetitive Hand Flapping Movement Detector for Children with Autism

Autor: Tanmay Shinde, Satyanarayana Garapati, Subodh Bansode, Ikhlas Abdel-Qader
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).
DOI: 10.1109/icecct.2019.8869018
Popis: The prevalence of autism spectrum disorder (asd) has increased at a significant rate in recent years, especially in developed nations such as the united states, japan, and south korea. Children affected with autism tend to exhibit a spectrum of symptoms depending on the severity of the disease. These behaviors are primarily repetitive, self-stimulatory, and stereotypic behaviors such as hand flapping (i.e., repeatedly shaking their hands), body rocking (i.e., swaying their body back and forth), drumming, walking around in a confined space, and walking with shortened steps on toes, etc. in this research project, a simple reminder system is proposed using wearable sensors to automatically detect significant hand flapping movements. The reminder system consists of a speaker encoded with the voice of mother, father, or any other custom designed voice. an algorithm was designed to trigger the audio device when the child showed significant hand flapping activity (i.e., hand flapping more than 10 times) within a given time frame. the time frame and the hand flapping count can be customized per severity of the child’s symptoms. The device was successfully tested in the laboratory by simulating the hand flapping movement shown by the child. It is hoped that this system provides a valuable service to parents and the child by alerting the child to autistic movements, preventing the habit from turning into self-injurious behavior, and taking away the burden from parents and caregivers.
Databáze: OpenAIRE