Intelligent Recognition of Activities of Daily Living for Assisting Memory and/or Cognitively Impaired Elders in Smart Homes

Abstract

The article describes a recognition approach of undertaken activities of daily living (ADLs) performed by memory and/or cognitively impaired elders in smart homes. The proposed technique is materialized via a recognition module inserted in a modular generic architecture which aims to offer a framework to conceive intelligent ADLs assistance systems.

Intelligence Complements from the Built Environment: A Review of Cps-Enabled Smart Buildings for Cognitively Declined Occupants

“…The classic MDP-based algorithms are the probabilistic approach that Najjar et al [81,82] and Chu et al [83] employed to identify and recognize multiple activities of occupants Najjar et al [81,82] equipped their recognition module with reinforced learning. To resolve the ambiguous sensor data issue, Chu et al [83] used POMDP and proposed a non-learning heuristic approach based on a dual control algorithm using selective-inquiry to solve the POMDP.…”

Recognizing Driving Behavior and Road Anomaly using Smartphone Sensors

“…With the rapid development and widespread of smartphones, they become accessible to the majorityofpeopleandessentialindailylife.Smartphoneshaveawiderangeofsensorson-boardsuch asaccelerometer,gyroscope,camera,magneticsensor,light,andGPS.Themulti-sensingcapabilities ofsmartphonesalongwithhighcomputationalefficiencyhaveenableditintoanattractiveplatform forimplementingsensingapplications.Examplesofsuchapplicationsaregesturerecognition (Kale &Patil,2016)suchasrecognizinghumanhandwritingbyholdingthephonelikeapenandwrite shortmessagesintheair (Xu,Zhou,&Li,2012).Also,personalactivitiesinambientassistedliving (AAL)applications (Dingli,Attard,&Mamo,2012) (Najjar,Courtemanche,Hamam,Dion,&Bauchet, 2009)suchaswalkingandrunningcanberecognizedandclassifiedusingsmartphoneinternalsensors (Reddyetal.,2010.Therefore,smartphoneisprovidedaplatformtoimplementmonitoringsystems. Smartphonessensorsareallowedustorecognizedrivingeventswhenasmartphoneisplacedinside avehicletonotifythedriverswiththeiraggressivedrivingbehaviorsandharmfulroadconditions (Johnsonetal.,2011) (Eren,Makinist,Akin,&Yilmaz,2012).…”

Time and Space Reasoning for Ambient Systems

“…Onanotherside,severalmodelingapproachesarealreadyproposedtoassistthedesignerofAmI systems (HaniHagras,2004) (Hegarty,Lunney,Curran,&Mulvenna,2010) (Najjar,Courtemanche, Hamam, Dion, & Bauchet, 2009). In fact, the major problem for the system entities consists in recognizingenvironmentalcontext,includinglocationmodeling,resourcemanagement,real-time requirements,planningwithintimelimited,anddiscoveryofneighborse.g.…”