CHEOPS: Cultural Heritage Enhancement Over Cyber-Physical Systems

The Internet of Things (Iot) field has been expanding in various domains with cultural heritage being no exception. Nevertheless, cultural heritage sites are still often managed in traditional ways and a prominent gap remains between tour managers and visitors in correctly identifying visitors interest to specific sites and monuments. Previous related works focused on tackling mood detection separately from particular touristic locations which lead to overly generalized assumptions. Accordingly, in this paper, we propose a comprehensive platform named CHEOPS to enhance the touristic experience by detecting the tourists interest in the sites. The proposed platform provides a customized tour through touristic sites by using indoor localization techniques coupled with information about smartphone activity. Accordingly, the visitor is directed to a more interesting location. In addition to interest detection, CHEOPS implements several techniques for interaction with the touristic site such as gaze detection, gesture recognition, and augmented reality. A prototype of the proposed platform is implemented and tested in real scenarios to detect the usability of the system. The output accurately detects the interest of the users, which can then be used to fill the gap between the site manages and the tourists.