This artifact abstract is a guideline for SmartSPEC [1], a simulator for generating customizable smart space datasets using semantic models of spaces, people, events and sensors. SmartSPEC is based on two main components: (i) Scenario Learning which produces metamodels of events and people using input seed data; and (ii) Scenario Generation which uses SmartSPEC data to generate a realistic smart s...Show More
This paper presents SmartSPEC, an approach to generate customizable smart space datasets using sensorized spaces in which people and events are embedded. Smart space datasets are critical to design, deploy and evaluate robust systems and applications to ensure cost-effective operation and safety/-comfort/convenience of the space occupants. Often, real-world data is difficult to obtain due to the l...Show More
