The objective assessment of physical activity levels through wearable inertial-based motion
detectors for the automatic, continuous and long-term monitoring of people in free-living …

Decoding human activity accurately from wearable sensors can aid in applications related to
healthcare and context awareness. The present approaches in this domain use recurrent …

This paper introduces a knowledge-driven approach to real-time, continuous activity
recognition based on multisensor data streams in smart homes. The approach goes beyond …

A lot of efforts have been rendered to recognize human actions such as face recognize,
pose estimate and motion analysis. The major problems in action recognition are: 1. Scale …

Purpose–This paper aims to serve two main purposes. In the first instance it aims to it
provide an overview addressing the state‐of‐the‐art in the area of activity recognition, in …

Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …

Systems that automatically recognize human activities offer the potential of timely, task-
relevant information and support. For example, prompting systems can help keep people …

Ambient Assisted Living (AAL) aims to create innovative technical solutions and services to
support independent living among older adults, improve their quality of life and reduce the …

Fatigue increases the risk of injury during sports training and rehabilitation. Early detection
of fatigue during exercises would help adapt the training in order to prevent over-training …

Activity recognition has attracted increasing attention as a number of related research areas
such as pervasive computing, intelligent environments and robotics converge on this critical …