The Enhancement of Low-Level Classifications for Ambient Assisted Living

Abstract. Assisted living means providing the assisted with custom services, specific to their needs and capabilities. Computer monitoring can supply some of these services, be it through attached devices or "smart" environments. In this paper, we describe an ambient system that we have built to facilitate non-verbal interaction that is not bound to the traditional input means of a keyboard and mouse. We investigated the reliability of hand gesture behavior recognition, from which computer commands for AAL communications are interpreted. Our findings show that hand gesture behavioral analysis reduces false classifications while at the same time more than doubling the available vocabulary. These results will influence the design of gestural and multimodal user interfaces. Keywords. human-computer interaction, hand postures, hand gestures, user interface, ambient intelligence, posture recognition, gesture recognition, smart environments, computer vision, human body tracking, ha...

• Type: Journal
• Year: 2008
• Where: KI
• Authors: Rachel E. Goshorn, Deborah Goshorn, Mathias Kölsch
• Keywords: Artificial Intelligence, Computer, Hand Gesture, Hand Gesture Behaviors, KI 2008