Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population
Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …
development of Active and Assisted Living (AAL) systems to support independent living. The …
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 …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends
Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …
Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …
because of the increasing availability of environmental and wearable sensors for collecting …
A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Hierarchical clustering-based personalized federated learning for robust and fair human activity recognition
Currently, federated learning (FL) can enable users to collaboratively train a global model
while protecting the privacy of user data, which has been applied to human activity …
while protecting the privacy of user data, which has been applied to human activity …
Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence
Abstract In recent times, Ambient Assisted Living has emerged as Smart Living. Smart living
is a subset of ambient intelligence, which uses the latest technologies, intellectual …
is a subset of ambient intelligence, which uses the latest technologies, intellectual …