Recognizing the actions, plans, and goals of a person in an unconstrained environment is a
key feature that future robotic systems will need in order to achieve a natural human …

With the maturity of sensing and pervasive computing techniques, extensive research is
being carried out in using different sensing techniques for understanding human behaviour …

Being able to detect and recognize human activities is essential for several applications,
including personal assistive robotics. In this paper, we perform detection and recognition of …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

This paper addresses the problem of learning and recognizing human activities of daily
living (ADL), which is an important research issue in building a pervasive and smart …

Being able to detect and recognize human activities is important for making personal
assistant robots useful in performing assistive tasks. The challenge is to develop a system …

In this paper, we present several confidence measures for large vocabulary continuous
speech recognition. We propose to estimate the confidence of a hypothesized word directly …

Directly modeling the inherent hierarchy and shared structures of human behaviors, we
present an application of the hierarchical hidden Markov model (HHMM) for the problem of …

This paper presents a robust location-aware activity recognition approach for establishing
ambient intelligence applications in a smart home. With observations from a variety of …

Recognizing human activity from a stream of sensory observations is important for a number
of applications such as surveillance and human-computer interaction. Hidden Markov …