In this paper, we propose a set of speech actions to account for how conversants collaborate in building a domain plan. The actions that we propose are indexical on the current plan, which is part of the mental states of the conversants. The current plan not only includes the actions that have been proposed to solve the problem, but also beliefs about the plans validity and how each action cont...

We present a new general framework for online probabilistic plan recognition called the Abstract Hidden Markov Memory Model (AHM M). The new model is an extension of the existing Abstract Hidden Markov Model to allow the policy to have internal memory which can be updated in a Markov fashion. We show that the AHM M can represent a richer class of probabilistic plans, and at the same time derive...

Being able to recognise everyday activities of daily life provides the opportunity of tracking functional decline among elderly people who suffer from Alzheimer’s disease. This paper describes an approach that has been developed for recognising activities of daily life based on a hierarchal structure of plans. While it is logical to envisage that the most common activities will be modelled with...

In this paper, we describe the evaluation of a real-world awareness (RWA) prototype designed to help managers perform environmental scanning in the pharmaceutical industry. RWA in the pharmaceutical industry consists of not only the tracking and tracing of drugs but also of pattern recognition for relevant events – both internal and external to the company which can affect a company’s drug rese...

The acoustic realization of vowels with lexical stress generally differs substantially from their unstressed counterparts, which are more reduced in spectral quality, shorter in duration, weaker in intensity and tend to have a flatter spectral tilt. Therefore, in an automatic speech recognizer it would appear profitable to train separate models for the stressed and unstressed variants of each v...

Humans use sketches drawn on paper, on a computer, or via hand gestures in the air as part of their communications. To recognize shapes in sketches, most existing work focuses on offline (post-drawing) recognition methods, trained on large sets of examples which serve as a plan library for the recognition method. These methods do not allow on-line recognition, and require a very large library (...

We introduce a logic-based system which improves the performance of intelligent help systems by supplying them with plan generation and plan recognition components. Both components work in close mutual cooperation There are two modes of cross-talk between them, one where plan recognition is done on the basis of abstract plans provided by the planner and the other where optimal plans are generat...

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 investigating device-free localization and activ...

We propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE). To factor out misalignment between query support sequences of body joints, we an advanced variant Dynamic Time Warping which jointly models each smooth path the frames to achieve simultaneously best alignment in temporal simulated camera viewpoint spaces en...