Artificial intelligence-enabled digital transformation in elderly healthcare field: scoping review
As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in keeping up with changing and unpredictable demands as well as …
experiencing difficulty in keeping up with changing and unpredictable demands as well as …
Sensors and algorithms for locomotion intention detection of lower limb exoskeletons
D Wang, X Gu, H Yu - Medical Engineering & Physics, 2023 - Elsevier
In recent years, lower limb exoskeletons (LLEs) have received much attention due to the
potential to help people with paraplegia regain the ability of upright-legged locomotion …
potential to help people with paraplegia regain the ability of upright-legged locomotion …
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction
Extracting representative features to recognize human activities through the use of
wearables is an area of on-going research. While hand-crafted features and machine …
wearables is an area of on-going research. While hand-crafted features and machine …
Human activity recognition using k-nearest neighbor machine learning algorithm
Smart factory in the era of Industry 4.0 requires humans to have continuous communication
capabilities among each other's and with the existing smart assets in order to integrate their …
capabilities among each other's and with the existing smart assets in order to integrate their …
Industry 4.0-oriented deep learning models for human activity recognition
According to the Industry 4.0 vision, humans in a smart factory, should be equipped with
formidable and seamless communication capabilities and integrated into a cyber-physical …
formidable and seamless communication capabilities and integrated into a cyber-physical …
Recognition of human activity using GRU deep learning algorithm
S Mohsen - Multimedia Tools and Applications, 2023 - Springer
Human activity recognition (HAR) is a challenging issue in several fields, such as medical
diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the …
diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the …
A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion
Due to the increasing resolution and usage requirements of sensors and the increasing
computational cost of algorithms, the application of existing human motion pattern and …
computational cost of algorithms, the application of existing human motion pattern and …
Wearable sensors in the diagnosis and study of Parkinson's disease symptoms: A systematic review
AC Albán-Cadena, F Villalba-Meneses… - Journal of Medical …, 2021 - Taylor & Francis
Nowadays, there are several diseases which affect different systems of the body, producing
changes in the correct functioning of the organism and the people lifestyles. One of them is …
changes in the correct functioning of the organism and the people lifestyles. One of them is …
[HTML][HTML] Enhancing human activity recognition using features reduction in iot edge and azure cloud
Abstract The Internet of Things (IoT), cloud computing, and machine learning opened an
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
[HTML][HTML] Do we need early exit networks in human activity recognition?
Deep learning is nowadays considered state-of-the-art technology in many applications
thanks to huge performance capabilities. However, the accuracy levels that can be obtained …
thanks to huge performance capabilities. However, the accuracy levels that can be obtained …