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A comprehensive survey on deep learning methods in human activity recognition
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 …
world applications ranging from healthcare to industrial environments. As the volume of …
[HTML][HTML] Human activity recognition data analysis: History, evolutions, and new trends
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …
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
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 …
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
Activity Recognition (S-HAR) are generally capable of regular simple actions (walking,
sitting, or standing), but are indistinguishable from sophisticated activities, such as sports …
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 …
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
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 …
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 …
(IoT), there are increasingly intelligent sensing applications emerging by utilizing fine …
In-depth analysis of design & development for sensor-based human activity recognition system
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 …
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
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 …
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 …
and gyroscopes, enhances smartphones' adaptability and user experience. Data distribution …