The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

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

Real-time human activity recognition on a mobile phone is presented in this article. Unlike in
most other studies, not only the data were collected using the accelerometers of a …

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 …

Activity recognition aims to provide accurate and opportune information on people's
activities by leveraging sensory data available in today's sensory rich environments …

Activity of daily living is an important indicator of the health status and functional capabilities
of an individual. Activity recognition, which aims at understanding the behavioral patterns of …

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 …

Mobile activity recognition focuses on inferring current user activities by leveraging sensory
data available on today׳ s sensor rich mobile phones. Supervised learning with static …

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

Human activity recognition (HAR), which aims at inferring the behavioral patterns of people,
is a fundamental research problem in digital health and ambient intelligence. The …