With the development of wearable devices that have several embedded sensors, it is
possible to collect data that can be analyzed in order to understand the user's needs and …

In the last years, simple activity recognition through wearable sensors has been achieved
successfully, however complex activity recognition is still challenging. Simple activities may …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …

The continuous development of new technologies has led to the creation of a wide range of
personal devices embedded with an ever increasing number of miniature sensors. With …

Recently, activity recognition using built-in sensors in a mobile phone becomes an important
issue. It can help us to provide context-aware services: health care, suitable content …

High-level and longer-term activity recognition has great potentials in areas such as medical
diagnosis and human behavior modeling. So far however, activity recognition research has …

Physical activity is an important factor that is considered for the prevention of diseases like
diabetes or hypertension and for rehabilitation. For this purpose, patients are required to …

Activity recognition is an essential task in many ambient assisted living applications.
Activities are commonly recognized using data streams from onbody sensors such as …

The use of on-body wearable sensors is widespread in several academic and industrial
domains. Of great interest are their applications in ambulatory monitoring and pervasive …