Machine learning for healthcare wearable devices: the big picture

F Sabry, T Eltaras, W Labda, K Alzoubi… - Journal of Healthcare …, 2022 - Wiley Online Library
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

[HTML][HTML] Virtual reality in the diagnostic and therapy for mental disorders: A systematic review

A Wiebe, K Kannen, B Selaskowski, A Mehren… - Clinical Psychology …, 2022 - Elsevier
Background Virtual reality (VR) technologies are playing an increasingly important role in
the diagnostics and treatment of mental disorders. Objective To systematically review the …

Significant applications of machine learning for COVID-19 pandemic

S Kushwaha, S Bahl, AK Bagha, KS Parmar… - Journal of Industrial …, 2020 - World Scientific
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …

Emotion recognition in immersive virtual reality: From statistics to affective computing

J Marín-Morales, C Llinares, J Guixeres, M Alcañiz - Sensors, 2020 - mdpi.com
Emotions play a critical role in our daily lives, so the understanding and recognition of
emotional responses is crucial for human research. Affective computing research has mostly …

[HTML][HTML] Opportunities and challenges of virtual reality in healthcare–a domain experts inquiry

A Halbig, SK Babu, S Gatter, ME Latoschik… - Frontiers in Virtual …, 2022 - frontiersin.org
In recent years, the applications and accessibility of Virtual Reality (VR) for the healthcare
sector have continued to grow. However, so far, most VR applications are only relevant in …

Recent advances in wearable sensors and integrated functional devices for virtual and augmented reality applications

H Kim, YT Kwon, HR Lim, JH Kim… - Advanced Functional …, 2021 - Wiley Online Library
The advancement in virtual reality/augmented reality (VR/AR) has been achieved by
breakthroughs in the realistic perception of virtual elements. Although VR/AR technology is …

A systematic review of physiological measurements, factors, methods, and applications in virtual reality

A Halbig, ME Latoschik - Frontiers in Virtual Reality, 2021 - frontiersin.org
Measurements of physiological parameters provide an objective, often non-intrusive, and (at
least semi-) automatic evaluation and utilization of user behavior. In addition, specific …

[HTML][HTML] Deep learning applied to electroencephalogram data in mental disorders: A systematic review

M de Bardeci, CT Ip, S Olbrich - Biological Psychology, 2021 - Elsevier
In recent medical research, tremendous progress has been made in the application of deep
learning (DL) techniques. This article systematically reviews how DL techniques have been …

Enhancing aviation safety through AI-driven mental health management for pilots and air traffic controllers

K Ćosić, S Popović, BK Wiederhold - … , Behavior, and Social …, 2024 - liebertpub.com
This article provides an overview of the mental health challenges faced by pilots and air
traffic controllers (ATCs), whose stressful professional lives may negatively impact global …

Analysis of the potential impact of omicron crises using NLTK (natural language toolkit)

N Jiwani, K Gupta, P Whig - Proceedings of Third Doctoral Symposium on …, 2022 - Springer
It has been evident that there are several mutations in the Omicron virus in this variation,
some of which are very serious. In contrast to another virus, initial investigation appears to …