Individuals with autism are dealing with spectrum of challenges on daily basis, which do not let them to live a quality life. These challenges solely variate on every single individual on the spectrum without even having a single similarity with the other individual on the spectrum. To address core
Smart wearable for Autism
Individuals with autism are dealing with spectrum of challenges on daily basis, which do not let them to live a quality life. These challenges solely variate on every single individual on the spectrum without even having a single similarity with the other individual on the spectrum. To address core deficiencies, there are interventions and medical treatment to make their livings possible. But autistic adults and children have spontaneous attraction for technology and they pay more attention to objects than to people, therefore there is need of assistive technology to serve as intervention for the range of spectrum disorder with the aim of improving quality of life. In this project, we have proposed an assistive smart ecosystem comprises: smart wearable sensing device for predicting, detecting and gathering quantified data, cloud infrastructure for data storage and processing using deep learning techniques, and a companion application for monitoring. This smart sensing wearable device will generate alerts at real-time for the imminent emotional, behavioral and physical abnormalities. Using ridge-regularized logistic regression classifiers, smart wearable will predict the imminent abnormalities to help the autistic individual’s caregivers, so that they can also take some measures.
The primary objective of this project is to develop a smart assistive environment for people with autism spectrum disorder. We are planning to present a real time, cost effective, independent framework for people with ASD.
The major objectives of this project are:
The primary benefits of the project are :
The sensors will detect the body physical and physiological parameters that are temperature of the body, pulse rate, body movement, electroconductivity of skin and exact pin location of the autistic child. The cloud infrastructure is responsible for the synchronization processing and storage of the data.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Accelerometeer | Equipment | 2 | 650 | 1300 |
| Temperature sensor | Equipment | 4 | 150 | 600 |
| GPS | Equipment | 1 | 2500 | 2500 |
| GSR | Equipment | 2 | 1350 | 2700 |
| GSM | Equipment | 1 | 4000 | 4000 |
| Pulse sensor | Equipment | 3 | 200 | 600 |
| Vero board | Equipment | 1 | 100 | 100 |
| connectors | Equipment | 1 | 500 | 500 |
| RAM | Equipment | 1 | 27000 | 27000 |
| Hard disk | Equipment | 1 | 12000 | 12000 |
| soldering Iron | Equipment | 1 | 600 | 600 |
| Arduino | Equipment | 2 | 750 | 1500 |
| Cloud Subscription | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 63400 |
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