Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …

Physical activity recognition using embedded sensors has enabled many context-aware
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

A lot of real-life mobile sensing applications are becoming available. These applications use
mobile sensors embedded in smart phones to recognize human activities in order to get a …

Human activity recognition is an important area of machine learning research as it has many
utilization in different areas such as sports training, security, entertainment, ambientassisted …

Abstract Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems
and Evolutionary Algorithms. They integrate both the management of imprecision …

Although human activity recognition (HAR) has been studied extensively in the past decade,
HAR on smartphones is a relatively new area. Smartphones are equipped with a variety of …

Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …

Smartphone-based activity recognition (SP-AR) recognizes users' activities using the
embedded accelerometer sensor. Only a small number of previous works can be classified …

Background Mobile health monitoring using wearable sensors is a growing area of interest.
As the world's population ages and locomotor capabilities decrease, the ability to report on a …