AI Integrated With IoT System for Continuous Elderly Fall Detection Using SmartFallSentry System
R. P. Ram Kumar, Manasa Vanam, P. Gopala Krishna, Mallikarjuna Rao · Advances in medical diagnosis, treatment, and care (AMDTC) book series · 2024
The parallel development AI and ML is a boon to humanity. It eases the safety and livelihood of people who need to be under constant observation. Artificial intelligence (AI) and machine learning (ML)-enabled healthcare systems aid in the observation of elderly people. Nowadays, elderly people are severely affected while they fall. Falling down might occur due to several reasons like high or low blood pressure, diabetes, Parkinsonism, heart attack, cardiac arrest, brain tumour, and many more. The working lifestyle of other family members leaves the elderly alone and demands observation. For observing such home alone elderly people, the family members depend on exclusive caretakers and healthcare monitoring systems (HMS). When caretakers take off, family members depend on HMS. Henceforth, we need an effective HMS comprising sensor networks, data acquisition and pre-processing, computer vision (CV) module, AI and ML module, decision making and alerting, and especially, user interface.