Smart spaces equipped with sensors and combined with learning are becoming
increasingly popular for many ubiquitous computing applications. However, application …

Current state-of-the-art systems in the literature using wearables are not capable of
distinguishing a large number of fine-grained and/or complex human activities, which may …

Accurate recognition and tracking of human activities is an important goal of ubiquitous
computing. Recent advances in the development of multi-modal wearable sensors enable …

Sensor-based human activity recognition has been extensively studied. Systems learn from
a set of training samples to classify actions into a pre-defined set of ground truth activities …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

The advances of wearable sensors and wireless networks offer many opportunities to
recognize human activities from sensor readings in pervasive computing. Existing work so …

Advances in mobile and wearable devices are making it feasible to deploy sensing systems
at a large-scale. However, slower progress is being made in activity recognition which …

We develop CACE (Constraints And Correlations mining Engine), a framework that
significantly improves the recognition accuracy of complex daily activities in multi-inhabitant …

Recognizing and understanding the activities of people from sensor readings is an important
task in ubiquitous computing. Activity recognition is also a particularly difficult task because …

Human activity recognition (HAR) is the automated recognition of individual or group
activities from sensor inputs. It deals with a wide range of application areas, such as for …