A review on video-based human activity recognition

SR Ke, HLU Thuc, YJ Lee, JN Hwang, JH Yoo… - Computers, 2013 - mdpi.com
This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …

Object tracking methods: a review

Z Soleimanitaleb, MA Keyvanrad… - 2019 9th International …, 2019 - ieeexplore.ieee.org
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 …

Towards environment independent device free human activity recognition

W Jiang, C Miao, F Ma, S Yao, Y Wang… - Proceedings of the 24th …, 2018 - dl.acm.org
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 …

Data augmentation and dense-LSTM for human activity recognition using WiFi signal

J Zhang, F Wu, B Wei, Q Zhang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

A study on human activity recognition using accelerometer data from smartphones

A Bayat, M Pomplun, DA Tran - Procedia Computer Science, 2014 - Elsevier
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 …

Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks

N Golestani, M Moghaddam - Nature communications, 2020 - nature.com
Recognizing human physical activities using wireless sensor networks has attracted
significant research interest due to its broad range of applications, such as healthcare …

Harke: Human activity recognition from kinetic energy harvesting data in wearable devices

S Khalifa, G Lan, M Hassan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Ontology‐based activity recognition in intelligent pervasive environments

L Chen, C Nugent - International Journal of Web Information Systems, 2009 - emerald.com
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 …

CsiGAN: Robust channel state information-based activity recognition with GANs

C Xiao, D Han, Y Ma, Z Qin - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
As a cornerstone service for many Internet of Things applications, channel state information
(CSI)-based activity recognition has received immense attention over recent years …

Dynamic sensor data segmentation for real-time knowledge-driven activity recognition

G Okeyo, L Chen, H Wang, R Sterritt - Pervasive and Mobile Computing, 2014 - Elsevier
Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …