IoT-Enabled Smart Desk & Chair System
Prof. Jugal Jagtap¹,
Rasalkar Awais Azim², Gupta Abhishek Rajkumar ², Shah Kunal Rakesh², Abdul Sami Shaikh²
Asst. Professor¹ Student²
ABSTRACT – Individual user preferences for the indoor environment can be learned by the smart desk, which can then customize the space according to those preferences and serve as an intelligent support system to increase user comfort, productivity, and health. We outline the general framework for the smart desk and provide a brief overview of recent developments in various fields that can be used to improve occupant experience in buildings. We discuss potential directions for future research as we wrap up the paper. The human body frequently engages in sitting in daily life. In literature, it has been discovered that bad sitting postures can cause discomfort and other issues. In this paper, we have designed a highly practical smart chair system that can accurately and non-invasively monitor human sitting behavior in order to prevent the negative effects of poor sitting behavior. In order to automatically recognize eight standardized sitting postures of human subjects using an artificial neural network classifier, the pressure patterns of these postures were recorded and sent to the computer. According to the results of the experiment, it can accurately identify eight different sitting positions of people. The smart chair system's built-in sitting posture monitoring feature can prevent or lessen the chronic diseases brought on by bad sitting habits while also assisting or encouraging people to adopt and maintain healthy sitting habits. These encouraging findings implied that the suggested system is workable for tracking sitting behavior, which has uses in a variety of fields such as intelligent environments, healthcare services, and human- computer interactions.
Keywords: Internet of Things (IoT), smart desk, classification, smart chair, and sitting behavior.
