Speech interfaces have become widely accepted and are nowadays integrated in various
real-life applications and devices. They have become a part of our daily life. However …

It has long been speculated whether communication between humans and machines based
on natural speech related cortical activity is possible. Over the past decade, studies have …

Many human activity recognition (HAR) systems have the ultimate application scenarios in
real-time, while most literature has limited the HAR study to offline models. Some mentioned …

1 Background In this digital age, human activity recognition (HAR) plays an increasingly
important role in almost all aspects of life to improve people's quality of life, such as auxiliary …

The worldwide population is aging. With a larger population of elderly people, the numbers
of people affected by cognitive impairment such as Alzheimer's disease are growing …

Abstract High-Level Features (HLF) are a novel way of describing and processing human
activities. Each feature captures an interpretable aspect of activities, and a unique …

Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …

As the population in developed countries is aging, larger numbers of people are at risk of
developing dementia. In the near future there will be a need for time-and cost-efficient …

In this paper, we study the effect of Feature Space Reduction for the task of Human Activity
Recognition (HAR). For this purpose, we investigate a Linear Discriminant Analysis (LDA) …

This paper presents recent progress toward our goal to enable area-wide pre-screening
methods for the early detection of dementia based on automatically processing …