A Deep Learning Framework for Smartphone Based Human Activity Recognition

M Mallik, G Sarkar, C Chowdhury - Mobile Networks and Applications, 2023 - Springer
Abstract Human Activity Recognition (HAR) has earned a lot of importance in recent years
due to its applications in various domains including smart healthcare, entertainment …

Convolutional neural networks for human activity recognition in time and frequency-domain

L Sadouk, T Gadi - First International Conference on Real Time Intelligent …, 2017 - Springer
Human activity recognition (HAR) is an important technology in pervasive computing
because it can be applied to many real-life, human-centric problems such as eldercare and …

Ultanet: An antithesis neural network for recognizing human activity using inertial sensors signals

HA Imran - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is an essential component of ambient assistive living. HAR
has traditionally relied on computer vision techniques. However, it has several drawbacks …

A robust human activity recognition system using smartphone sensors and deep learning

MM Hassan, MZ Uddin, A Mohamed… - Future Generation …, 2018 - Elsevier
In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …

[PDF][PDF] A study on human activity recognition using smartphone

AA Ismael, M Jayabalan, D Al-Jumeily - Int. J. Soft Comput. Eng, 2020 - researchgate.net
Smartphones have changed the lives of many people all around the world with its
technological evolution and computational capabilities. Moreover, with an increasing …

Hybrid machine learning approach for human activity recognition

AT Azar - International Journal of Computer Applications in …, 2023 - inderscienceonline.com
Human activity recognition is an important component of building situational awareness.
Recognising human activity is important in people's daily lives. The requirement to infer …

A novel semisupervised deep learning method for human activity recognition

Q Zhu, Z Chen, YC Soh - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Human activity recognition (HAR) based on inertial sensors has been investigated for many
industrial informatics applications, such as healthcare and ubiquitous computing. Existing …

Human activity recognition with smartphone sensors using deep learning neural networks

CA Ronao, SB Cho - Expert systems with applications, 2016 - Elsevier
Human activities are inherently translation invariant and hierarchical. Human activity
recognition (HAR), a field that has garnered a lot of attention in recent years due to its high …

Hybrid deep learning approaches for smartphone sensor-based human activity recognition

V Ghate - Multimedia Tools and Applications, 2021 - Springer
Abstract Human Activity Recognition (HAR) has become one of the most important research
fields to achieve real-time monitoring of human activities for timely decision making in …

A survey on human activity recognition based on temporal signals of portable inertial sensors

R Elbasiony, W Gomaa - The International Conference on Advanced …, 2020 - Springer
In recent years, automatic human activity recognition has drawn much attention. On one
hand, this is due to the rapid proliferation and cost degradation of a wide variety of sensing …