Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …

Crowd-centric research is receiving increasingly more attention as datasets on crowd
behavior are becoming readily available. We have come to a point where many of the …

The optimization of logistics in large building complexes with many resources, such as
hospitals, require realistic facility management and planning. Current planning practices rely …

Real-time monitoring of groups and their rich contexts will be a key building block for
futuristic, group-aware mobile services. In this paper, we propose GruMon, a fast and …

The rise of data from smart city services and the emergence of advanced algorithms have
emphasized the need for a deeper understanding of the underlying patterns of urban …

In many cases, visitors come to a museum in small groups. In such cases, the visitors' social
context has an impact on their museum visit experience. Knowing the social context may …

The absence of some forms of non-verbal communication in virtual reality (VR) can make VR-
based group discussions difficult even when a leader is assigned to each group to facilitate …

Monitoring group mobility and structure is crucial for understanding group activities and
social relations. In this paper, we develop algorithms for fine-grained mobility classification …

With the prevalence of smart devices, such as smart phones, wearable equipments, and
infrastructures, location-based service (LBS) has thrived in our daily life. In those practical …

Spatiotemporal social behavior analysis is a technique that studies the social behavior
patterns of objects and estimates their risks based on their trajectories. In social public …