Recognition of emergency situations using audio–visual perception sensor network for ambient assistive living

• Published in: Journal of ambient intelligence and humanized computing Vol. 10; no. 1; pp. 41 - 55
• Main Authors: Yun, Sang-Seok, Nguyen, Quang, Choi, JongSuk
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2019; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Audio signals; Cameras; Computational Intelligence; Covariance matrix; Engineering; Image acquisition; Matched pursuit; Original Research; Robotics and Automation; School safety; Sound sources; Students; Target detection; User Interfaces and Human Computer Interaction; Violence; Visual perception; Human recognition; School safety; Ambient intelligence; Surveillance; Multimodal sensors; Emergency detection

In this paper, we present a perception sensor network (PSN) capable of detecting audio- and visual-based emergency situations such as students’ quarrel with scream and punch, and of keeping an effective school safety. As a system aspect, PSN is basically composed of ambient type sensor units using a...