This chapter presents and discusses the application of advanced, mobile and stationary technology for reasoning about visitors' behavior in cultural heritage sites. While museums are large indoors spaces, like shopping malls and different public buildings, they have unique characteristics. Visiting them is a leisure activity; people come as individuals and groups for different reasons. Museums study their visitors in order to provide them a better experience. While traditional museum studies involved manual observations and visitors tracking, nowadays technology enables one to do that automatically and non-obtrusively. However, while multimodal raw data can easily be gathered, reasoning about it and interpreting it has become a maor challenge. This chapter reviews some recent studies and techniques used for automatic tracking museum visitors and discusses how measured signals were fused and interpreted, and it suggests what may be done as mobile, wearable technology becomes a commodity.
|Title of host publication||Multimodal Behavior Analysis in the Wild|
|Subtitle of host publication||Advances and Challenges.|
|Number of pages||11|
|State||Published - 16 Nov 2018|
Bibliographical notePublisher Copyright:
© 2019 Elsevier Ltd All rights reserved.
- Context awareness
- Museum visitors guide
- Social signal processing
ASJC Scopus subject areas
- Computer Science (all)