• J. GEETHA PRIYA
• K. BALASARANYA
• SAVITHA A
• SAYEERA BANU M
• SHALINI A

Nowadays Autism children find it difficult to interact socially with people's emotions and make themselves isolated. People can identify a common face and understand a facial expression in a single glance. Still, children with autism spectrum disorder (ASD) frequently have problems communicating with their parents, care-takers, and other children. In this paper, we provide an inventive system to discover facial expressions in children with ASD during study time. Children are monitored while learning or using their electronic devices like tablets or laptops while the research tracks the child's facial expressions. The project we've proposed is an Emotion recognition for autism spectrum disorder children (ASD). It is self-possessed of python libraries Open CV, Haar-cascade method to predict faces. Contrarily, majority of the existing methods depend upon the detection of facial expressions of people in social media platforms namely Snapchat which uses facial recognition technology, and also from their facial expressions in the image the emotions get detected. And for better involvement of the children’s social interaction, a face is captured in real-time and the emotions are processed by Facial expression recognition (FER). This developed system helps to build on Autism children’s actions as they constantly observe their facial expressions and speculate the facial emotion. If the Predicted facial Emotion is happy, then we will play some Interesting Audio to them using AT mega Microcontroller and DF mini-Player, which will keep them relaxed and will help them to learn interactively. Along With that we have designed and built a stress sensor based on Galvanic Skin Response (GSR), to find their stress level and monitoring it via over the Internet Using NodeMCU (ESP8266-12E Microcontroller unit). This proposed system helps to develop the Autism children’s actions as they often observe the facial indications of people and try to imitate their actions which make a huge difference in their understanding behaviour and also making it as a Non-Invasive Therapy for the ASD children because it does not possess the child to take any pills in order to calm them or to keep them in control.

autism spectrum disorder (ASD), Non-Invasive therapy, OpenCV, Learning, Facial Expression Recognition (FER), Stress Detection Using Galvanic Skin Response sensor, Internet of Things, Data Storage.

"IMPROVING EDUCATION DELIVERY AND LEARNING OUTCOME FOR SPECIALLY-ABLED CHILDREN WITH AUTISM SPECTRUM DISORDER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e394-e401, November-2023, Available :http://www.jetir.org/papers/JETIR2311455.pdf

"IMPROVING EDUCATION DELIVERY AND LEARNING OUTCOME FOR SPECIALLY-ABLED CHILDREN WITH AUTISM SPECTRUM DISORDER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe394-e401, November-2023, Available at : http://www.jetir.org/papers/JETIR2311455.pdf