Τίτλος:
Clinical decision support for active and healthy ageing: An intelligent monitoring approach of daily living activities
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Decision support concepts such as context awareness and trend analysis are employed in a sensor-enabled environment for monitoring Activities of Daily Living and mobility patterns. Probabilistic Event Calculus is employed for the former; statistical process control techniques are applied for the latter case. The system is tested with real senior users within a lab as well as their home settings. Accumulated results show that the implementation of the two separate components, i.e. Sensor Data Fusion and Decision Support System, works adequately well. Future work suggests ways to combine both components so that more accurate inference results are achieved. © Springer International Publishing Switzerland 2015.
Συγγραφείς:
Billis, A.S.
Katzouris, N.
Artikis, A.
Bamidis, P.D.
Περιοδικό:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Λέξεις-κλειδιά:
Artificial intelligence; Calculations; Data fusion; Decision support systems; Logic programming; Process control; Sensor data fusion; Sensors, Context- awareness; Decision supports; Event calculus; Trend analysis; Unobtrusiveness, Statistical process control
DOI:
10.1007/978-3-319-23485-4_14
