Ambient intelligence

Multi-Resident Activity Tracking and Recognition in Smart Environments

During last decade, smart homes in which the activities of the residents are monitored automatically have been developed and demonstrated. However, smart homes with multiple residents still remains an open challenge. In order to tackle the multiple …

Active Learning with Uncertainty Sampling for Large Scale Activity Recognition in Smart Homes

In this paper, three different measures of uncertainty have been used for selecting the most informative data points and their performance have been evaluated by using real world data sets.

Sleep Quality Monitoring with Ambient and Mobile Sensing

Evaluating daily life quality is important in ambient intelligence applications targeted for health status monitoring. When we consider the fact that people approximately spend one-third of their lives sleeping, we need to monitor the sleep quality …

Daily life behaviour monitoring for health assessment using machine learning: bridging the gap between domains

Analysis of human behaviour for deducing health and well-being information is one of the contemporary challenges given the ageing in place. To this end, existing and newly developed machine learning methods are needed to be evaluated using annotated …