Metaverse for healthcare: a survey on potential applications, challenges and future directions
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …
healthcare, generating novel models that are creating new channels for rendering treatment …
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
An efficient edge computing management mechanism for sustainable smart cities
Since ancient times, humanity has envisioned a world where people and things connect and
interact. The advent of generation mobile systems, the so-called 5 G in the early century, has …
interact. The advent of generation mobile systems, the so-called 5 G in the early century, has …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review
Wearable and Internet of Things (IoT) technologies in sports open a new era in athlete's
training, not only for performance monitoring and evaluation but also for fitness assessment …
training, not only for performance monitoring and evaluation but also for fitness assessment …
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 …
An explainable EEG-based human activity recognition model using machine-learning approach and LIME
Electroencephalography (EEG) is a non-invasive method employed to discern human
behaviors by monitoring the neurological responses during cognitive and motor tasks …
behaviors by monitoring the neurological responses during cognitive and motor tasks …
[Retracted] Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis
Y Li, B Shan, B Li, X Liu, Y Pu - Journal of Healthcare …, 2021 - Wiley Online Library
The emergence of machine learning (ML) and blockchain (BC) technology has greatly
enriched the functions and services of healthcare, giving birth to the new field of “smart …
enriched the functions and services of healthcare, giving birth to the new field of “smart …