[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey

E Garcia-Ceja, M Riegler, T Nordgreen… - Pervasive and Mobile …, 2018 - Elsevier
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Development of Advanced Artificial Intelligence and IoT Automation in the Crisis of COVID‐19 Detection

PK Kollu, K Kumar, PR Kshirsagar… - Journal of …, 2022 - Wiley Online Library
Internet of Things (IoT) is a successful area for many industries and academia domains,
particularly healthcare is one of the application areas that uses IoT sensors and devices for …

Pervasive computing in the context of COVID-19 prediction with AI-based algorithms

N VR, R PS - International Journal of Pervasive Computing and …, 2020 - emerald.com
Purpose The current and on-going coronavirus (COVID-19) has disrupted many human lives
all over the world and seems very difficult to confront this global crisis as the infection is …

Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey

D Thakur, S Biswas - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
Human activity monitoring and recognition (HAMR) based on smartphone sensor data is a
field that promotes a lot of observation in current era due to its notable desire in various …

Feature extraction in motor activity signal: Towards a depression episodes detection in unipolar and bipolar patients

LA Zanella-Calzada, CE Galván-Tejada… - Diagnostics, 2019 - mdpi.com
Depression is a mental disorder characterized by recurrent sadness and loss of interest in
the enjoyment of the positive aspects of life, in addition to fatigue, causing inability to perform …

Depression episodes detection in unipolar and bipolar patients: a methodology with feature extraction and feature selection with genetic algorithms using activity …

CE Galvan-Tejada, LA Zanella-Calzada… - Mobile Information …, 2019 - Wiley Online Library
Depression is a mental disorder which typically includes recurrent sadness and loss of
interest in the enjoyment of the positive aspects of life, and in severe cases fatigue, causing …

Pregnancy healthcare monitoring system: A review

N Khozouie, R Malekhoseini - Smart Health, 2023 - Elsevier
Today's the blend of information technology and medicine has been improved patient's life.
People can monitor their health status without the aid of a healthcare specialized; healthcare …

Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor

B Lee, H Kim - International Journal of Environmental Research and …, 2022 - mdpi.com
Walking is the most basic means of transportation. Therefore, continuous management of
the walking environment is very important. In particular, the identification of environmental …

Device-free localization for human activity monitoring

S Shukri, LM Kamarudin… - Intelligent Video …, 2018 - books.google.com
Over the past few decades, human activity monitoring has grabbed considerable research
attentions due to greater demand for human-centric applications in healthcare and assisted …

Forest path condition monitoring based on crowd-based trajectory data analysis

F Arcas-Tunez, F Terroso-Saenz - Journal of Ambient …, 2021 - content.iospress.com
Abstract The development of Road Information Acquisition Systems (RIASs) based on the
Mobile Crowdsensing (MCS) paradigm has been widely studied for the last years. In that …