Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
A review of emotion recognition using physiological signals
Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …
many areas such as safe driving, health care and social security. In this paper, we present a …
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …
electroencephalogram and blood volume pulse has received much attention. Long short …
Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
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 …
decades. In particular, physiological signals are widely used to detect and classify affective …
Systematic analysis of a military wearable device based on a multi-level fusion framework: research directions
H Shi, H Zhao, Y Liu, W Gao, SC Dou - Sensors, 2019 - mdpi.com
With the development of the Internet of Battlefield Things (IoBT), soldiers have become key
nodes of information collection and resource control on the battlefield. It has become a trend …
nodes of information collection and resource control on the battlefield. It has become a trend …
A new approach for emotions recognition through EOG and EMG signals
In this paper, an approach for emotion recognition using physiological signals has been
development. The main purpose of this paper is to provide improved method for emotion …
development. The main purpose of this paper is to provide improved method for emotion …
Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks
Wearable sensing devices (WSDs) have enormous promise for monitoring construction
worker safety. They can track workers and send safety-related information in real time …
worker safety. They can track workers and send safety-related information in real time …
Emotion recognition using fused physiological signals
D Fabiano, S Canavan - 2019 8th International Conference on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a new representation of human emotion through the fusion of
physiological signals. Using the variance of these signals, the proposed method increases …
physiological signals. Using the variance of these signals, the proposed method increases …
Detection of artifacts in ambulatory electrodermal activity data
Recent wearable devices enable continuous and unobtrusive monitoring of human's
physiological parameters, like eg, electrodermal activity and heart rate, over long periods of …
physiological parameters, like eg, electrodermal activity and heart rate, over long periods of …
[HTML][HTML] Detecting subclinical social anxiety using physiological data from a wrist-worn wearable: small-scale feasibility study
Background: Subclinical (ie, threshold) social anxiety can greatly affect young people's lives,
but existing solutions appear inadequate considering its rising prevalence. Wearable …
but existing solutions appear inadequate considering its rising prevalence. Wearable …