The proliferation of sensors in modern applications has driven significant advancements in their accuracy, cost efficiency, and miniaturization, facilitated by cutting-edge fabrication techniques. These innovations are steering the development of an industry where motion sensors and similar devices are seamlessly integrated into "everything that moves." These compact yet powerful electronic components have transformative potential in daily life, converting continuous data streams into critical, life-impacting decisions.

    The rapid evolution of sensor technology has enabled a multitude of societal advancements. For example, hundreds of billions of sensors are now embedded in diverse interconnected physical systems. These range from advanced healthcare devices capable of remote heart rate monitoring to intelligent animal tracking systems, smart tools for locating misplaced items, and even enabling smartphone-controlled appliances like refrigerators. This integration underscores the pervasive impact of sensors, shaping a future where their utility spans across domains and fundamentally redefines how humans interact with technology.

    This research project aims to leverage cutting-edge advancements in sensory technologies and machine learning algorithms to develop a comprehensive health monitoring system for humans. By integrating state-of-the-art innovations in sensor modalities and cost-effective methodologies, this system aims to facilitate long-term independent living while providing an effective tool for monitoring health and functional capabilities, even in scenarios with limited medical personnel availability.

    The field of health monitoring has garnered significant attention from the research community, spurred by rapid advancements in sensor technology and its growing applications. Recently, the concept of Ambient Assisted Living (AAL) has evolved to encompass the monitoring of physical, cognitive, and social activities of elderly individuals, with the objective of preserving their health and functional independence. This project aligns with these developments, aiming to contribute to the ongoing transformation of healthcare through technological innovation.