Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field
S Soon, H Svavarsdottir, C Downey… - BMJ Innovations, 2020 - innovations.bmj.com
Early detection of physiological deterioration has been shown to improve patient outcomes.
Due to recent improvements in technology, comprehensive outpatient vital signs monitoring …
Due to recent improvements in technology, comprehensive outpatient vital signs monitoring …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Survey of human–robot collaboration in industrial settings: Awareness, intelligence, and compliance
Industrial robots working in isolation in a highly automated system are valued for their high
productivity. The shortcomings of these pure robotic cells become more apparent when …
productivity. The shortcomings of these pure robotic cells become more apparent when …
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 …
Machine learning techniques for arousal classification from electrodermal activity: A systematic review
R Sánchez-Reolid, F López de la Rosa… - Sensors, 2022 - mdpi.com
This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
Physiological sensors based emotion recognition while experiencing tactile enhanced multimedia
Emotion recognition has increased the potential of affective computing by getting an instant
feedback from users and thereby, have a better understanding of their behavior …
feedback from users and thereby, have a better understanding of their behavior …
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback
CJ Lin, RP Lukodono - Journal of Manufacturing Systems, 2022 - Elsevier
The development of the industry phase from 4.0 into 5.0 is shifting the focus from technology-
driven to value-driven to empower and engage humans in the work environment with …
driven to value-driven to empower and engage humans in the work environment with …
Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …
essential for facilitating video content customization and personalization. However, most …
Evaluating ensemble learning methods for multi-modal emotion recognition using sensor data fusion
Automatic recognition of human emotions is not a trivial process. There are many factors
affecting emotions internally and externally. Expressing emotions could also be performed in …
affecting emotions internally and externally. Expressing emotions could also be performed in …
An individual-oriented algorithm for stress detection in wearable sensor measurements
Accurately measuring a person's level of stress can have a wide variety of impacts, not only
on human health, but also on the perceived feeling of safety when going after daily habits …
on human health, but also on the perceived feeling of safety when going after daily habits …