Contextualized behavior patterns for change reasoning in Ambient Assisted Living: A formal model. Issue 2 (2nd April 2017)

• Record Type: Journal Article
• Authors: Lago, Paula; Jiménez‐Guarín, Claudia; Roncancio, Claudia
• Other Names: Fernández‐Caballero Antonio guestEditor.; González Pascual guestEditor.; Navarro Elena guestEditor.
• Is Part Of: Expert systems. Volume 34:Issue 2(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-04-02
• Subjects: activities of daily living -- behavior analysis -- behavioral patterns -- context awareness -- elder care -- long‐term behavior modeling; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12189
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Ambient Assisted Living, smart environments and technology used for elder care, increases independent living time and cuts long‐term care costs. An important requirement for these systems is detecting and informing about abnormal behavior in users' routines. Still, routines may change when certain context conditions hold, which does not mean these changes should concern caregivers. However, changes due to context conditions are not often considered in current proposals. In this paper, we formalize the main concepts related to activities in Ambient Assisted Living, and we introduce contextualized behavior patterns, a long‐term behavior model that considers variability due to context. We adopt a semantic similarity that allows to better detect behavior changes and to understand what makes an observation of daily living different from expected patterns. The results of the experience with three public data sets are promising.