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 …
[HTML][HTML] Ambient assisted living: sco** review of artificial intelligence models, domains, technology, and concerns
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …
intelligence (AI)—infused applications and platforms that support their users in need in …
FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
Review on human action recognition in smart living: Sensing technology, multimodality, real-time processing, interoperability, and resource-constrained processing
Smart living, a concept that has gained increasing attention in recent years, revolves around
integrating advanced technologies in homes and cities to enhance the quality of life for …
integrating advanced technologies in homes and cities to enhance the quality of life for …
A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions
Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors
This paper presents a comprehensive dataset intended to evaluate passive Human Activity
Recognition (HAR) and localization techniques with measurements obtained from …
Recognition (HAR) and localization techniques with measurements obtained from …
Wi-Sense: A passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems
A human activity recognition (HAR) system acts as the backbone of many human-centric
applications, such as active assisted living and in-home monitoring for elderly and physically …
applications, such as active assisted living and in-home monitoring for elderly and physically …
HIT HAR: human image threshing machine for human activity recognition using deep learning models
In recent days, research in human activity recognition (HAR) has played a significant role in
healthcare systems. The accurate activity classification results from the HAR enhance the …
healthcare systems. The accurate activity classification results from the HAR enhance the …
Sharp: Environment and person independent activity recognition with commodity ieee 802.11 access points
In this article we present SHARP, an original approach for obtaining human activity
recognition (HAR) through the use of commercial IEEE 802.11 (Wi-Fi) devices. SHARP …
recognition (HAR) through the use of commercial IEEE 802.11 (Wi-Fi) devices. SHARP …
Power consumption reduction for iot devices thanks to edge-ai: Application to human activity recognition
Abstract Edge-AI uses Artificial Intelligence algorithms directly embedded on a device,
contrary to a remote AI that uses an AI on a cloud or remote server for prediction. Recent …
contrary to a remote AI that uses an AI on a cloud or remote server for prediction. Recent …