[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

T Shaik, X Tao, L Li, H Xie, JD Velásquez - Information Fusion, 2023 - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Survey on wireless network security

R Nazir, AA Laghari, K Kumar, S David… - Archives of Computational …, 2021 - Springer
A wireless network is used to connect various wired organizational structures and provide
connectivity within the organization for employees to move freely by avoiding the hurdle of a …

Designing a chatbot as a mediator for promoting deep self-disclosure to a real mental health professional

YC Lee, N Yamashita, Y Huang - Proceedings of the ACM on Human …, 2020 - dl.acm.org
Chatbots are becoming increasingly popular. One promising application for chatbots is to
elicit people's self-disclosure of their personal experiences, thoughts, and feelings. As …

[HTML][HTML] Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection

F Larradet, R Niewiadomski, G Barresi… - Frontiers in …, 2020 - frontiersin.org
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …

Critical success factors influencing wearable sensing device implementation in AEC industry

C Nnaji, I Awolusi - Technology in Society, 2021 - Elsevier
The present study investigates the success factors (SFs) for implementing wearable sensing
devices (WSDs) for safety and health monitoring within the construction industry. A …

[HTML][HTML] Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects

K Edgley, AW Horne, PTK Saunders, A Tsanas - Cell Reports Medicine, 2023 - cell.com
Endometriosis is a common chronic pain condition with no known cure and limited treatment
options. Digital technologies, ranging from smartphone apps to wearable sensors, have …

Mood worlds: A virtual environment for autonomous emotional expression

N Wagener, J Niess, Y Rogers, J Schöning - Proceedings of the 2022 …, 2022 - dl.acm.org
Immersive interactive technologies such as virtual reality (VR) have the potential to foster
well-being. While VR applications have been successfully used to evoke positive emotions …

Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

Automatic emotion recognition in clinical scenario: a systematic review of methods

L Pepa, L Spalazzi, M Capecci… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
BACKGROUND-Automatic emotion recognition has powerful and interesting opportunities in
the clinical field, but several critical aspects are still open, such as heterogeneity of …

Deep learning for mobile mental health: Challenges and recent advances

J Han, Z Zhang, C Mascolo, E André… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Mental health plays a key role in everyone's day-to-day lives, impacting our thoughts,
behaviors, and emotions. Also, over the past years, given their ubiquitous and affordable …