A sensor system capable of automatically recognizing activities would allow many potential
ubiquitous applications. In this paper, we present an easy to install sensor network and an …

A problem in performing activity recognition on a large scale (ie in many homes) is that a
labelled data set needs to be recorded for each house activity recognition is performed in …

Many real-world applications that focus on addressing needs of a human, require
information about the activities being performed by the human in real-time. While advances …

As compared to actions, activities are much more complex, but semantically they are more
representative of a human׳ s real life. Techniques for action recognition from sensor …

Existing work on sensor-based activity recognition focuses mainly on single-user activities.
However, in real life, activities are often performed by multiple users involving interactions …

Sensor networks hold the promise of truly intelligent buildings: buildings that adapt to the
behavior of their occupants to improve productivity, efficiency, safety, and security. To be …

Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for
everyday living. Recognition of ADLs is key element for building intelligent and pervasive …

Recognising human activities from sensors embedded in an environment or worn on bodies
is an important and challenging research topic in pervasive computing. Existing work on …

Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …

This paper describes how we recognize activities of daily living (ADLs) with our designed
sensor device, which is equipped with heterogeneous sensors such as a camera, a …