Verity: an ambient assisted living platform

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.