Sensor Based Human Activity Recognition

  • Gowthami M
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Abstract

Abstract: This project presents the design and implementation of a smart home system that harnesses the capabilities of infrared (IR) sensors and temperature sensors. In the contemporary landscape of technological innovation, smart homes offer unparalleled convenience, comfort, and energy efficiency. Leveraging these sensors, our system aims to automate various household tasks while intelligently responding to environmental changes and user preferences. The integration of IR sensors enables motion detection and occupancy sensing, facilitating automatic control of devices such as lighting and security systems. Meanwhile, temperature sensors contribute to efficient heating, ventilation, and air conditioning (HVAC) management by adjusting settings based on ambient conditions. Through a centralized control unit and user-friendly interface, homeowners can monitor and manage their smart home remotely, enhancing their overall living experience. This paper discusses the system's objectives, proposed architecture, implementation details, and potential benefits, underscoring its significance in modernizing residential living spaces.

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APA

Gowthami, Mrs. C. P. (2024). Sensor Based Human Activity Recognition. International Journal for Research in Applied Science and Engineering Technology, 12(4), 3934–3939. https://doi.org/10.22214/ijraset.2024.60846

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