A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence
| Autor: | Al Banna, Md. Hasan, Ghosh, Tapotosh, Taher, Kazi Abu, Kaiser, M. Shamim, Mahmud, Mufti |
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| Rok vydání: | 2020 |
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| Zdroj: | Brain Informatics ISBN: 9783030592769 BI Brain Informatics Lecture Notes in Computer Science |
| DOI: | 10.1007/978-3-030-59277-6_23 |
| Popis: | When the world is suffering from the deadliest consequences of COVID-19, people with autism find themselves in the worst possible situation. The patients of autism lack social skills, and in many cases, show repetitive behavior. Many of them need outside support throughout their life. During the COVID-19 pandemic, as many of the places are in lockdown conditions, it is very tough for them to find help from their doctors and therapists. Suddenly, the caregivers and parents of the ASD patients find themselves in a strange situation. Therefore, we are proposing an artificial intelligence-based system that uses sensor data to monitor the patient’s condition, and based on the emotion and facial expression of the patient, adjusts the learning method through exciting games and tasks. Whenever something goes wrong with the patient’s behavior, the caregivers and the parents are alerted about it. We then presented how this AI-based system can help them during COVID-19 pandemic. This system can help the parents to adjust to the new situation and continue the mental growth of the patients. |
| Databáze: | OpenAIRE |
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