[HTML][HTML] Application scenarios for artificial intelligence in nursing care: rapid review

K Seibert, D Domhoff, D Bruch, M Schulte-Althoff… - Journal of medical …, 2021 - jmir.org
Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

A survey on big data-driven digital phenotyping of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Big data for internet of things: a survey

M Ge, H Bangui, B Buhnova - Future generation computer systems, 2018 - Elsevier
With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Feature extraction and selection for emotion recognition from electrodermal activity

J Shukla, M Barreda-Angeles, J Oliver… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Electrodermal activity (EDA) is indicative of psychological processes related to human
cognition and emotions. Previous research has studied many methods for extracting EDA …

[HTML][HTML] Wearable emotion recognition using heart rate data from a smart bracelet

L Shu, Y Yu, W Chen, H Hua, Q Li, J Jin, X Xu - Sensors, 2020 - mdpi.com
Emotion recognition and monitoring based on commonly used wearable devices can play
an important role in psychological health monitoring and human-computer interaction …

Multi-domain feature fusion for emotion classification using DEAP dataset

M Khateeb, SM Anwar, M Alnowami - Ieee Access, 2021 - ieeexplore.ieee.org
Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …

[HTML][HTML] Assessing autonomic function from electrodermal activity and heart rate variability during cold-pressor test and emotional challenge

S Ghiasi, A Greco, R Barbieri, EP Scilingo… - Scientific reports, 2020 - nature.com
Standard functional assessment of autonomic nervous system (ANS) activity on
cardiovascular control relies on spectral analysis of heart rate variability (HRV) series …

Collaborative assembly in hybrid manufacturing cells: An integrated framework for human–robot interaction

B Sadrfaridpour, Y Wang - IEEE Transactions on Automation …, 2017 - ieeexplore.ieee.org
Recent emergence of safe, lightweight, and flexible robots has opened a new realm for
human-robot collaboration in manufacturing. Utilizing such robots with the new human-robot …

IoT-aided robotics applications: Technological implications, target domains and open issues

LA Grieco, A Rizzo, S Colucci, S Sicari, G Piro… - Computer …, 2014 - Elsevier
The ongoing revolution of Internet of Things (IoT), together with the growing diffusion of
robots in many activities of every day life, makes IoT-aided robotics applications a tangible …

[HTML][HTML] Research trends in artificial intelligence applications in human factors health care: mapping review

O Asan, A Choudhury - JMIR human factors, 2021 - humanfactors.jmir.org
Background Despite advancements in artificial intelligence (AI) to develop prediction and
classification models, little research has been devoted to real-world translations with a user …