Date of Publication :25th July 2024

Abstract: The growing geriatric population demands creative ways to protect senior citizens' safety and well-being. An "Elderly Health Monitoring System" is being introduced in this project to help and monitor older citizens with their everyday tasks. In addition to offering user-friendly communication tools and real-time health and safety monitoring, the system integrates hardware and software components. An Arduino microcontroller and a power supply module are used in the hardware implementation to operate a range of sensors for thorough monitoring. These comprise an accelerometer for fall detection, a temperature sensor, a blood pressure (BP) sensor, and a heartbeat sensor. A GPS module gives position coordinates in an emergency, and an emergency switch lets the user quickly notify a guardian of their whereabouts. All measured data are shown on an LCD display, and anytime an emergency occurs or a threshold is crossed, a buzzer rings. The software solution improves user communication and engagement by utilizing machine learning methods. The text-to-speech, gesture-to-speech, and image-to-speech converters are the three components of the system. With the use of a text-to-speech converter, text entered on a keyboard may be converted into audible speech. Certain hand movements are interpreted by the gesture-to-speech converter, which then converts them into matching voice outputs. Finally, text from photos may be recognized and converted into spoken sentences using the image-to-speech converter.

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