Longitudinal Ambient Sensor Monitoring for Functional Health Assessments: A Case Study

Authors
Publication date 2014
Book title UbiComp'14 adjunct: proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: September 13-17, 2014, Seattle, WA, USA
ISBN
  • 9781450330473
Event UBICOMP '14 Adjunct
Pages (from-to) 1209-1216
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Ambient monitoring systems offer great possibilities for health trend analysis in addition to anomaly detection. Health trend analysis helps care professionals to evaluate someones functional health and direct or evaluate the choice of interventions. This paper presents one case study of a person that was followed with an ambient monitoring system for almost three years and another of a person that was followed for over a year. A simple algorithm is applied to make a location based data representation. This data is visualized for care professionals, and used for inspecting the regularity of the pattern with means of principal component analysis (PCA). This paper provides a set of tools for analyzing longitudinal behavioral data for health assessments. We advocate a standardized data collection procedure, particularly the health metrics that could be used to validate health focused sensor data analyses.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/2638728.2638812
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