[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 …
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
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 …
decades, but the research on mental health is still at the initial stage with substantial …
Big data for internet of things: a survey
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 …
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 …
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 …
an important role in psychological health monitoring and human-computer interaction …
Multi-domain feature fusion for emotion classification using DEAP dataset
Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …
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
Standard functional assessment of autonomic nervous system (ANS) activity on
cardiovascular control relies on spectral analysis of heart rate variability (HRV) series …
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 …
human-robot collaboration in manufacturing. Utilizing such robots with the new human-robot …
IoT-aided robotics applications: Technological implications, target domains and open issues
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 …
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 …
classification models, little research has been devoted to real-world translations with a user …