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IoT-based Fall Prevention and Detection for Senior Citizens, Physically and Intellectually Disabled

Research shows that occurrence of falls among senior citizens, intellectually and physically disabled people leads to major injuries and even death in emergency rooms, home, workplace, etc. This paper proposes an IoT-based fall prevention and detection system for such individuals to promote independent living without depending on others or the need to be monitored constantly, thereby increasing their quality of lives. Our system prototype detects a fall using a threshold based accelerometer algorithm and uses BLE modules deployed at strategic locations to prevent a fall. This alerts users to be more careful in those areas by generating audio message and even if a fall does occur, it notifies parents, caretakers and medical in-charge people via. E-mail and SMS so that they can do the needful further.