A comprehensive survey on deep learning methods in human activity recognition

M Kaseris, I Kostavelis, S Malassiotis - Machine Learning and Knowledge …, 2024 - mdpi.com
Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …

[HTML][HTML] Human activity recognition data analysis: History, evolutions, and new trends

PP Ariza-Colpas, E Vicario, AI Oviedo-Carrascal… - Sensors, 2022 - mdpi.com
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …

An adaptive batch size-based-CNN-LSTM framework for human activity recognition in uncontrolled environment

NA Choudhury, B Soni - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a process of identifying the daily living activities of an
individual using a set of sensors and appropriate learning algorithms. Most of the works on …

[PDF][PDF] Multimodal wearable sensing for sport-related activity recognition using deep learning networks

S Mekruksavanich, A Jitpattanakul - Journal of Advances in Information …, 2022 - jait.us
Activity Recognition (S-HAR) are generally capable of regular simple actions (walking,
sitting, or standing), but are indistinguishable from sophisticated activities, such as sports …

Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model

YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …

Human activity recognition using cell phone-based accelerometer and convolutional neural network

A Prasad, AK Tyagi, MM Althobaiti, A Almulihi… - Applied Sciences, 2021 - mdpi.com
Human Activity Recognition (HAR) has become an active field of research in the computer
vision community. Recognizing the basic activities of human beings with the help of …

Multimodal fusion-adaboost based activity recognition for smart home on wifi platform

J Ding, Y Wang, H Si, S Gao, J **ng - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the ubiquity of commodity WiFi devices and the rapid development of Internet of Things
(IoT), there are increasingly intelligent sensing applications emerging by utilizing fine …

In-depth analysis of design & development for sensor-based human activity recognition system

NA Choudhury, B Soni - Multimedia Tools and Applications, 2024 - Springer
Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …

An efficient and lightweight deep learning model for human activity recognition on raw sensor data in uncontrolled environment

NA Choudhury, B Soni - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is the process of identifying daily living activities using a
set of sensors and optimal learning algorithms. It is a convoluted process, as there is no …

A benchmark for domain adaptation and generalization in smartphone-based human activity recognition

O Napoli, D Duarte, P Alves, DHP Soto, HE de Oliveira… - Scientific Data, 2024 - nature.com
Human activity recognition (HAR) using smartphone inertial sensors, like accelerometers
and gyroscopes, enhances smartphones' adaptability and user experience. Data distribution …