Learn More
Smart phones have become a powerful platform for wearable context recognition. We present a service-based recognition architecture which creates an evolving classification system using feedback from the user community. The approach utilizes classifiers based on fuzzy inference systems which use live annotation to personalize the classifier instance on the(More)
Intelligent Environments are currently implemented with standard WSN technologies using conventional connection-based communications. However, connection-based communications may impede progress towards IE scenarios involving high mobility or massive amounts of sensor nodes. We present a novel approach based on collective transmission for item level tagging(More)
This paper researches the potential of a novel ball switch as a wearable vibration sensor for activity recognition. The ball switch is available as a commercial, off-the-shelf sensor and is unique among such sensors due to its minia-turized design and the low mass of the ball. We present a detailed analysis of the physical properties of the sensor as well(More)
Wireless Sensing and Radio Identification systems have undergone many innovations during the past years. This has led to short product lifetimes for both software and hardware compared to classical industries. However, especially industries dealing with long-term support of products, e.g. of industrial machinery, and product lifetime of 40+ years may(More)
In this paper we provide an introduction to the relatively new field of device-free radio-based activity recognition (DFAR). While the research in device-free radio-based localization (DFL) has progressed in recent years, only few works exist which distinguish activities using this approach. Thus, we give an overview over the most important works(More)