Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

Virtual Humans provides a much-needed definition of what constitutes a 'virtual human'and
places virtual humans within the wider context of Artificial Intelligence development. It …

The use of speech-triggered wake-up interfaces has grown significantly in the last few years
for use in ubiquitous and mobile devices. Since these interfaces must always be active …

Past research regarding on-body interaction typically requires custom sensors, limiting their
scalability and generalizability. We propose EarBuddy, a real-time system that leverages the …

With the increasing use of audio sensors in surveillance and monitoring applications, event
detection using audio streams has emerged as an important research problem. This paper …

In this paper we consider the problems of supervised classification and regression in the
case where attributes and labels are functions: a data is represented by a set of functions …

As the construction industry experiences a high rate of casualties and significant economic
loss associated with accidents, safety has always been a primary concern. In response …

This paper presents a method aimed at recognizing environmental sounds for surveillance
and security applications. We propose to apply one-class support vector machines (1-SVMs) …

The remarkable success of deep convolutional neural networks in image-related
applications has led to their adoption also for sound processing. Typically the input is a time …