Exhibition Area Digitalization Using IoT Sensorics and Application to Smart Tourism Services

Abstract

Mobile devices in Internet of Things (IoT) can accompany human (or robot) when moving on the area. Many e-tourism platforms exist to collect data on points of interests located in some exhibition area. Artificial Intelligence (AI) provides methods to derive knowledge on recognize human activity and to recognize persons interests in exhibition area space. In this paper, we propose to apply AI methods to IoT-enabled sensed data in respect to the observed human activity. The research goal is to elaborate possible smart extends to e-tourism platforms. Our case study is the CycleAdvisor system. We introduce a concept model of a smart tourism recommender system that uses human-accompanying IoT devices to sense the human activity. From the sensed data persons interests are recognized and then used for constructing recommendations.

Keywords

• e-tourism
• smart services
• internet of things
• iot devices
• multimodal sensorics
• knowledge recognition