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[null,"1.","Record Nr.",null,"UNINA9910869164603321"]
[null,null,"Autore",null,"Friedrich Bjö"]
[null,null,"Titolo",null,"Empowering Independent Living Using the ICF : An Unobtrusive Home Monitoring Sensor System for Older Adults"]
[null,null,"Pubbl/distr/stampa",null,"Wiesbaden : , : Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, , 2024"]
[{"$nulls":4},"©2024"]
[null,null,"ISBN",null,"9783658446888"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (141 pages)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Acknowledgements -- Abstract -- Kurzzusammenfassung -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 2 A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data -- 2.1 Introduction -- 2.2 State of the Art -- 2.3 Methods and Materials -- Data Acquisition -- Preprocessing -- Network Architecture -- 2.4 Results -- 2.5 Discussion -- 2.6 Conclusions and Future Work -- References -- 3 Detecting Impending Malnutrition of (Pre-) Frail Older Adults in Domestic Smart Home Environments -- 3.1 Introduction -- 3.2 State of the Art -- Nutritional Intake and Body Weight -- Activities of Daily Living -- 3.3 Materials and Methods -- Data Acquisition -- Data Preprocessing -- Meal Preparation Time Estimation -- Minimal Clinically Important Difference -- Statistical Analysis -- 3.4 Results -- 3.5 Discussion -- 3.6 Conclusions -- References -- 4 Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults -- 4.1 Introduction -- 4.2 State of the Art -- 4.3 Materials and Methods -- Study Design -- Data Acquisition -- Sensor Graph -- Difference Function -- Preprocessing -- Statistical and Computational Methods -- 4.4 Results -- 4.5 Discussion -- 4.6 Conclusions -- References -- 5 Unsupervised Statistical Concept Drift Detection for Behaviour Abnormality Detection -- 5.1 Introduction -- 5.2 State of the Art -- 5.3 Materials and Methods -- Data Acquisition -- Data Preprocessing -- Activity Probability Maps -- Feature Engineering -- Unsupervised Statistical Concept Drift Detection -- Central Limit Theorem -- Variational Autoencoder -- Method Validation "]
[{"$nulls":4},"-- 5.4 Results -- Underlying Distribution Approximation -- Artificial dataset -- Real-world Dataset -- 5.5 Discussion -- 5.6 Conclusions -- References."]
[{"$nulls":4},"6 A System for Monitoring the Functional Status of Older Adults in Daily Life -- 6.1 Introduction -- 6.2 State of the Art -- 6.3 Methods -- 6.4 Results -- 6.5 Discussion -- 6.6 Conclusion -- References -- 7 General Discussion -- Bibliography."]