Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
Iot inspector: Crowdsourcing labeled network traffic from smart home devices at scale
The proliferation of smart home devices has created new opportunities for empirical
research in ubiquitous computing, ranging from security and privacy to personal health. Yet …
research in ubiquitous computing, ranging from security and privacy to personal health. Yet …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
The future of stress management: integration of smartwatches and HRV technology
In the modern world, stress has become a pervasive concern that affects individuals'
physical and mental well-being. To address this issue, many wearable devices have …
physical and mental well-being. To address this issue, many wearable devices have …
Machine learning and iot applied to cardiovascular diseases identification through heart sounds: A literature review
This article presents a systematic mapping study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …
machine learning and IoT applied in the identification of diseases through heart sounds …
ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological …
Cardio-mechanical monitoring techniques, such as Seismocardiography (SCG) and
Gyrocardiography (GCG), have received an ever-growing interest in recent years as …
Gyrocardiography (GCG), have received an ever-growing interest in recent years as …
Visualizing information on watch faces: A survey with smartwatch users
People increasingly wear smartwatches that can track a wide variety of data. However, it is
currently unknown which data people consume and how it is visualized. To better ground …
currently unknown which data people consume and how it is visualized. To better ground …
Machine learning, deep learning and data preprocessing techniques for detection, prediction, and monitoring of stress and stress-related mental disorders: a scoping …
This comprehensive review systematically evaluates Machine Learning (ML) methodologies
employed in the detection, prediction, and analysis of mental stress and its consequent …
employed in the detection, prediction, and analysis of mental stress and its consequent …
Preferences and effectiveness of sleep data visualizations for smartwatches and fitness bands
We present the findings of four studies related to the visualization of sleep data on
wearables with two form factors: smartwatches and fitness bands. Our goal was to …
wearables with two form factors: smartwatches and fitness bands. Our goal was to …