This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …

Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

Object tracking is one of the most important tasks in computer vision that has many practical
applications such as traffic monitoring, robotics, autonomous vehicle tracking, and so on …

Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …

This paper describes how to recognize certain types of human physical activities using
acceleration data generated by a user's cell phone. We propose a recognition system in …

Recognizing human physical activities using wireless sensor networks has attracted
significant research interest due to its broad range of applications, such as healthcare …

Kinetic energy harvesting (KEH) may help combat battery issues in wearable devices. While
the primary objective of KEH is to generate energy from human activities, the harvested …

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 …

As a cornerstone service for many Internet of Things applications, channel state information
(CSI)-based activity recognition has received immense attention over recent years …