The revolution of Internet of Things (IoT) is pervading many facets of our everyday life.
Among the multiple IoT application domains, well-being is becoming one of the popular …

Activity recognition is a popular research area with a number of applications, particularly in
the smart home environment. The unique features of smart home sensors have challenged …

Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

In recent years, we have witnessed a rapid surge in assisted living technologies due to a
rapidly aging society. The aging population, the increasing cost of formal health care, the …

Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

The past decade has seen a significant breakthrough in research on solving partially
observable Markov decision processes (POMDPs). Where past solvers could not scale …

This paper introduces a publicly available dataset of complex activities that involve
manipulative gestures. The dataset captures people preparing mixed salads and contains …

Background Many older adults with dementia require constant assistance from a caregiver
when completing activities of daily living (ADL). This study examines the efficacy of a …

Collaborative robots represent a clear added value to manufacturing, as they promise to
increase productivity and improve working conditions of such environments. Although …