Cognitive Computation Journal manuscript No. (will be inserted by the editor) Anomaly detection on Activities of Daily Living with Linear Drift ´ Oscar Belmonte-Fern´ andez · Antonio Caballer-Miedes · Eris Chinellato · Ra´ ul Montoliu · Emilio Sansano-Sansano · Rub´ en Garc´ ıa-Vidal Received: date / Accepted: date Abstract Background: Anomaly detection in Activities of Daily Living (ADL) plays an important role in e-health applications. An abrupt change in ADL taken by a subject might indicate that she/he needs some help. Another important issue related with e-health application is the case where the change in ADL experiments a linear drift, this is the case in cognitive decline, Alzheimer disease or dementia. Methods: This work presents a novel method for detecting a linear drift in ADL modeled as circular normal distributions. The method is based on techniques commonly used in Statistical Process Control, and is able to detect and estimate the change point in time when a linear drift started. ´ O.Belmonte-Fern´andez Institute of New Imaging Technologies and Department of Computer Languages and Systems, Jaume I University, Castell´on de la Plana, 12071, Spain Tel.: +34-964-728315 Fax: +34 964 728435 E-mail: oscar.belmonte@uji.es A. Caballer-Miedes Institute of New Imaging Technologies and Department of Developmental, Educational and Social Psychology and Methodology, Jaume I University, Castell´ on de la Plana, 12071, Spain E-mail: caballer@uji.es E. Chinellato Department of Design Engineering & Maths, Middelsex University, London NW4 4BT, UK E-mail: E.Chinellato@mdx.ac.uk R. Montoliu Institute of New Imaging Technologies and Department of Computer Architecture and Tech- nology, Jaume I University, Castell´ on de la Plana, 12071, Spain E-mail: montoliu@uji.es E. Sansano-Sansano Institute of New Imaging Technologies, Jaume I University, Castell´on de la Plana, 12071, Spain E-mail: esansano@uji.es R. Garc´ ıa-Vidal Institute of New Imaging Technologies, Jaume I University, Castell´on de la Plana, 12071, Spain E-mail: vidalr@uji.es