Behavior Analysis for Elderly

• Published in: Human Behavior Understanding Vol. 9277; pp. 1 - 10
• Main Authors: Salah, Albert Ali, Kröse, Ben J. A., Cook, Diane J.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2015; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Ambient Assist Live; Ambient Assist Live System; Artificial intelligence; Fall Detection System; Pattern recognition; Sequential Pattern Mining; Smart Environment; User interface design & usability
• ISBN: 331924194X; 9783319241944
• ISSN: 0302-9743; 1611-3349; 1611-3349
• DOI: 10.1007/978-3-319-24195-1_1

Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior Understanding (HBU’15), we seek to critically assess how HBU technology can be used for elderly. We describe and exemplify some of the challenges that come with the involvement of aging subjects, but we also point out to the great potential for expanding the use of ICT to create many applications to provide a better life for elderly.