Smart IoT desk for personalizing indoor environmental conditions

Abstract

Occupant satisfaction with indoor environmental conditions remains low in buildings that provide little to no control over the environment. Poor environmental conditions lead to lower productivity and can have negative impacts on health and wellbeing. Personalizing the environment based on user preferences could not only improve health and well-being but also the user satisfaction and productivity. Furthermore, office workers spend most of their working hours in sedentary activities. The use of sit-stand desks has been linked to the reduction of prolonged sitting time resulting in health benefits. By leveraging recent advances in IoT, we monitor the environment around the occupant and utilize different machine learning algorithms to learn their indoor environment related preferences. In this paper, we describe our vision and ongoing work of creating a smart IoT desk that can personalize the environment around the occupant and can act as a support system to drive their behavior towards better environmental settings and improve posture and ergonomics.