S Saini, A Juneja, A Shrivastava - 2023 1st International …, 2023 - ieeexplore.ieee.org
The study of human activities has always incite researchers. The human actions are acquired from raw time-series signals using smartphones and wearable devices' integrated …
S Geravesh, V Rupapara - Multimedia Tools and Applications, 2023 - Springer
The use of wearable devices, sensors, machine learning, and deep learning for human activity recognition (HAR) applications has increased in recent years. Lots of researchers …
AG Fataniya, DHP Modi - International Journal of Computing …, 2022 - journal.uob.edu.bh
Human Activity Recognition (HAR) is a vital area of Computer Vision. HAR focuses on various activities carried out by humans. Information relative to the human activities is …
HAR has attained major attention because of its significant use in real-life scenarios like activity and fitness monitoring, rehabilitation, gaming, prosthetic limbs, healthcare, smart …
M Monir - International Journal of Intelligent Computing and …, 2021 - journals.ekb.eg
Human Activity Recognition (HAR) is a domain that has shown great interest in the past years and tills now. The main cause for this is that it can be used in various applications …
Human activity recognition (HAR) has been a popular fields of research in recent times. Many approaches have been implemented in literature with the aim of recognizing and …
R Mondal, D Mukhopadhyay, S Barua, PK Singh… - Handbook of …, 2021 - Elsevier
With the advent of smart devices like smartphones and smartwatches, it is becoming very easy to track our daily activities using the data captured by the sensors present in these …
MF Aktter, MA Hossain, S Sarker… - Journal of Applied …, 2022 - publisher.unimas.my
Abstract Human Activity Recognition (HAR) is one of the most important branches of human- centered research activities. Along with the development of artificial intelligence, deep …
In the past two decades, a large number of artificial intelligence (AI) systems have been developed in many areas, including computer vision, data mining, machine learning, natural …