A comprehensive machine learning approach to prognose pulmonary disease from home
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Design of a situation-aware system for abnormal activity detection of elderly people
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Modeling individual healthy behavior using home automation sensor data: Results from a field trial
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
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In this study, we developed an automated behavior analysis system using infrared (IR) motion sensors to assist the independent living of the elderly who live alone and to improve the efficiency of their healthcare. An IR motion-sensor-based activity-monitoring system was installed in the houses of the elderly subjects to collect motion signals and three different feature values, activity level, mobility level, and nonresponse interval (NRI). These factors were calculated from the measured motion signals. The support vector data description (SVDD) method was used to classify normal behavior patterns and to detect abnormal behavioral patterns based on the aforementioned three feature values. The simulation data and real data were used to verify the proposed method in the individual analysis. A robust scheme is presented in this paper for optimally selecting the values of different parameters especially that of the scale parameter of the Gaussian kernel function involving in the training of the SVDD window length, T of the circadian rhythmic approach with the aim of applying the SVDD to the daily behavior patterns calculated over 24 h. Accuracies by positive predictive value (PPV) were 95.8% and 90.5% for the simulation and real data, respectively. The results suggest that the monitoring system utilizing the IR motion sensors and abnormal-behavior-pattern detection with SVDD are effective methods for home healthcare of elderly people living alone.