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As Covid-19 remains a cause of concern, especially due to its mutations,wearing masks correctly and efficiently remains a priority in order to limitthe spread of the disease. In this paper we present a wearable smart-maskprototype using concepts from Internet of Things, Control Theory andDistributed Ledger Technologies. Its purpose is to encourage people to complywith social distancing norms, through the use of incentives. The smart mask isdesigned to monitor Carbon Dioxide and Total Volatile Organic Compoundsconcentrations. The detected data is appended to a DAG-based DLT, named theIOTA Tangle. The IOTA Tangle ensures that the data is secure and immutable andacts as a communication backbone for the incentive mechanism. Ahardware-in-the-loop simulation, based on indoor positioning, is developed tovalidate the effectiveness of the designed prototype.

A DLT enabled smart mask system to enable social compliance