Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Activity monitoring in home environments has become increasingly important and has the
potential to support a broad array of applications including elder care, well-being …

Providing accurate and opportune information on people's activities and behaviors is one of
the most important tasks in pervasive computing. Innumerable applications can be …

Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …

Ambient Intelligence (AmI) is a new paradigm in information technology aimed at
empowering people's capabilities by means of digital environments that are sensitive …

Activity recognition technology is one of the most important technologies for life-logging and
for the care of elderly persons. Elderly people prefer to live in their own houses, within their …

Many intelligent systems that focus on the needs of a human require information about the
activities being performed by the human. At the core of this capability is activity recognition …

Many real-world applications that focus on addressing needs of a human, require
information about the activities being performed by the human in real-time. While advances …

Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …