This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) New Methods (911) Special Theme Issue (2013) "Internet of Things" (Guest Editors: Jara, Koch, Ray et al.) (6) Ubiquitous Health (uHealth) (117) Internet of Things (70) Assisted Living for the Elderly and Nursing Home Care (147)
User Behavior Shift Detection in Ambient Assisted Living Environments

User Behavior Shift Detection in Ambient Assisted Living Environments

User Behavior Shift Detection in Ambient Assisted Living Environments

Authors of this article:

Asier Aztiria1 ;   Golnaz Farhadi2 ;   Hamid Aghajan2
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Alberdi A, Aztiria A, Basarab A. Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review. Journal of Biomedical Informatics 2016;59:49 View
  2. Alberdi A, Aztiria A, Basarab A. On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey. Artificial Intelligence in Medicine 2016;71:1 View
  3. Lago P, Jiménez‐Guarín C, Roncancio C. Contextualized behavior patterns for change reasoning in Ambient Assisted Living: A formal model. Expert Systems 2017;34(2) View
  4. Eisa S, Moreira A. A Behaviour Monitoring System (BMS) for Ambient Assisted Living. Sensors 2017;17(9):1946 View
  5. De-La-Hoz-Franco E, Ariza-Colpas P, Quero J, Espinilla M. Sensor-Based Datasets for Human Activity Recognition – A Systematic Review of Literature. IEEE Access 2018;6:59192 View

Books/Policy Documents

  1. Bernardeschi C, Cimino M, Domenici A, Vaglini G. Wireless Mobile Communication and Healthcare. View
  2. Avvenuti M, Bernardeschi C, Cimino M, Cola G, Domenici A, Vaglini G. Wireless Mobile Communication and Healthcare. View