Verity: an ambient assisted living platform
Year: 2012
Type: article
Abstract: A new and innovative system intended for the monitoring of the elderly and those requiring passive care is developed, with a wrist-wearable wireless sensor node and a mobile platform to form a remotely accessible body area network. The system utilises a state-of-the art SoC (System on Chip), using an ultra-low power sensor interface and RF communication. Ambient/skin temperatures, accelerations and heart rate of the wearer are measured for real-time monitoring. Due to the high dimension and nonlinearity of the collected sensor data, a classifier with a dimension reduction technique is proposed for robust behaviour identification of a wearer. Experiments verify that the proposed classifier outperforms the conventional classifiers in its one-pass training and with higher distinguishing capability. The device functions unobtrusively, whilst giving the user peace of mind in the knowledge that their safety is being monitored.
Authors: J. Winkley, P. Jiang, W. Jiang
Institutions: University of Bradford, Tongji University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2002198981