Deep learning models for daily living activity recognition based on wearable inertial sensors

S Mekruksavanich, P Jantawong… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
Due to the breadth of its application domains, Hu-man Activity Recognition (HAR) is a
problematic area of human-computer interaction. HAR can be used in remote monitoring of …

ResNet-based network for recognizing daily and transitional activities based on smartphone sensors

S Mekruksavanich, P Jantawong… - … Conference on Big …, 2022 - ieeexplore.ieee.org
In contemporary wearable computing contexts, sensor-based human activity recognition
(HAR) has become a popular research topic. Investigators from the Health Applications …

BCL: A Branched CNN-LSTM Architecture for Human Activity Recognition Using Smartphone Sensors

SAF Oman, MN Jamil… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Human activity recognition, or HAR for short, is a process of interpreting specific human
motion based on sensor data. HAR has many human-centric applications, notably in …

Human activity recognition using CNN and LSTM for inertial sensors activity data

N Gupta, SK Gupta, V Jain - AIP Conference Proceedings, 2024 - pubs.aip.org
Human Activity Recognition is used in diverse applications due to its vast domain of data
acquisition sources. In today's digital world devices like closed circuit television (CCTV) …

Multi-ResAtt: Multilevel residual network with attention for human activity recognition using wearable sensors

MAA Al-Qaness, A Dahou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) applications have received much attention due to their
necessary implementations in various domains, including Industry 5.0 applications such as …

Deep bidirectional GRU network for human activity recognition using wearable inertial sensors

S Zhao, H Wei, K Zhang - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) has a wide range of applications in medical care, elderly
care and so on. Due to the development of wearable sensor technology, HAR based on …

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 Deep Learning based Human Activity Recognition Model using Long Short Term Memory Networks

KML Durga, P Jyotsna… - … Conference on Sustainable …, 2022 - ieeexplore.ieee.org
The recent development of machines which shows different intellectual characteristics are
being created by making changes in system hardware and software. In this modern period …

A review of wearable sensor-based human activity recognition using deep learning

Y Zhu, L Mo - … Conference on Sensing, Measurement & Data …, 2022 - ieeexplore.ieee.org
Human activity recognition is an important direction in pattern recognition that learns from
low-level raw signals acquired from smartphones and commercially available and …

Remote elderly healthcare: a robust deep learning approach for wearable sensors-based complex activities recognition

F Serpush, M Keyvanpour, MB Menhaj - AUT Journal of Modeling and …, 2023 - miscj.aut.ac.ir
Human activity recognition system (HARS) is critical for monitoring individuals' health and
movements, especially the elderly and the disabled, in different environments. Wearable …