Poster Abstract: Leveraging General-Purpose Audio Datasets for Vibration-based Crowd Monitoring in Stadiums

Crowd monitoring in sports stadiums is important to enhance public safety and improve audience experience. Existing approaches mainly rely on cameras and microphones, which can cause significant disturbances and often raise privacy concerns. In this paper, we sense floor vibration, which provides a less disruptive and more non-intrusive way of crowd sensing, to predict crowd behavior. However, since the vibration-based crowd monitoring approach is newly developed, one main challenge is the lack of training data due to sports stadiums are usually large public spaces with complex physical activities.