A review on the role of machine learning in enabling IoT based healthcare applications
HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …
sector. The branch of IoT dedicated towards medical science is at times termed as …
A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities
Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …
advances as independent disciplines over the past 50 years. XR has been developed as an …
Healthcare in metaverse: A survey on current metaverse applications in healthcare
The COVID-19 pandemic has revealed several limitations of existing healthcare systems.
Thus, there is a surge in healthcare innovation and new business models using computer …
Thus, there is a surge in healthcare innovation and new business models using computer …
[HTML][HTML] AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many
parts of the world. Healthcare professionals are not only over-burdened but also at a high …
parts of the world. Healthcare professionals are not only over-burdened but also at a high …
MTLFuseNet: a novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
R Li, C Ren, Y Ge, Q Zhao, Y Yang, Y Shi… - Knowledge-Based …, 2023 - Elsevier
How to extract discriminative latent feature representations from electroencephalography
(EEG) signals and build a generalized model is a topic in EEG-based emotion recognition …
(EEG) signals and build a generalized model is a topic in EEG-based emotion recognition …
Activity graph based convolutional neural network for human activity recognition using acceleration and gyroscope data
P Yang, C Yang, V Lanfranchi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) using smartphone sensors have been recently studied in
various applications including healthcare, fitness, and smart home. Their recognition …
various applications including healthcare, fitness, and smart home. Their recognition …
Healthcare internet of things: Security threats, challenges and future research directions
Internet of Things (IoT) applications are switching from general to precise in different
industries, eg, healthcare, automation, military, maritime, smart cities, transportation …
industries, eg, healthcare, automation, military, maritime, smart cities, transportation …
The impact of healthcare 4.0 on the healthcare service quality: a systematic literature review
Healthcare 4.0 is inspired by Industry 4.0 and its application has resulted in a paradigmatic
shift in the field of healthcare. However, the impact of this digital revolution in the healthcare …
shift in the field of healthcare. However, the impact of this digital revolution in the healthcare …
From the lab to the wild: Affect modeling via privileged information
How can we reliably transfer affect models trained in controlled laboratory conditions (in-
vitro) to uncontrolled real-world settings (in-vivo)? The information gap between in-vitro and …
vitro) to uncontrolled real-world settings (in-vivo)? The information gap between in-vitro and …
[HTML][HTML] Multi-corpus learning for audio–visual emotions and sentiment recognition
Recognition of emotions and sentiment (affective states) from human audio–visual
information is widely used in healthcare, education, entertainment, and other fields; …
information is widely used in healthcare, education, entertainment, and other fields; …