CNN-based sensor fusion techniques for multimodal human activity recognition

S Münzner, P Schmidt, A Reiss… - Proceedings of the …, 2017 - dl.acm.org
Deep learning (DL) methods receive increasing attention within the field of human activity
recognition (HAR) due to their success in other machine learning domains. Nonetheless, a …

Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Cloud-based Activity-aaService cyber–physical framework for human activity monitoring in mobility

R Gravina, C Ma, P Pace, G Aloi, W Russo, W Li… - Future Generation …, 2017 - Elsevier
This paper proposes Activity as a Service (Activity-aaService), a full-fledged cyber–physical
framework to support community, on-line and off-line human activity recognition and …

Data fusion and IoT for smart ubiquitous environments: A survey

F Alam, R Mehmood, I Katib, NN Albogami… - Ieee …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

ST-DeepHAR: Deep learning model for human activity recognition in IoHT applications

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

IoT sensor-based activity recognition

MAR Ahad, AD Antar, M Ahmed - IoT Sensor-Based Activity Recognition, 2020 - Springer
The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …

Lstm networks using smartphone data for sensor-based human activity recognition in smart homes

S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

Stochastic recognition of physical activity and healthcare using tri-axial inertial wearable sensors

A Jalal, M Batool, K Kim - Applied Sciences, 2020 - mdpi.com
Featured Application The proposed technique is an application of physical activity detection,
analyzing three challenging benchmark datasets. It can be applied in sports assistance …

A comparative analysis of hybrid deep learning models for human activity recognition

S Abbaspour, F Fotouhi, A Sedaghatbaf, H Fotouhi… - Sensors, 2020 - mdpi.com
Recent advances in artificial intelligence and machine learning (ML) led to effective methods
and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the …

Human activity recognition using inertial sensors in a smartphone: An overview

W Sousa Lima, E Souto, K El-Khatib, R Jalali, J Gama - Sensors, 2019 - mdpi.com
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …