[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 …

Advanced internet of things for personalised healthcare systems: A survey

J Qi, P Yang, G Min, O Amft, F Dong, L Xu - Pervasive and mobile …, 2017 - Elsevier
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

Smart homes and home health monitoring technologies for older adults: A systematic review

L Liu, E Stroulia, I Nikolaidis, A Miguel-Cruz… - International journal of …, 2016 - Elsevier
Background Around the world, populations are aging and there is a growing concern about
ways that older adults can maintain their health and well-being while living in their homes …

[HTML][HTML] Sensor-based wearable systems for monitoring human motion and posture: A review

X Huang, Y Xue, S Ren, F Wang - Sensors, 2023 - mdpi.com
In recent years, marked progress has been made in wearable technology for human motion
and posture recognition in the areas of assisted training, medical health, VR/AR, etc. This …

[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

J Qi, P Yang, A Waraich, Z Deng, Y Zhao… - Journal of biomedical …, 2018 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Feature selection and activity recognition system using a single triaxial accelerometer

P Gupta, T Dallas - IEEE Transactions on Biomedical …, 2014 - ieeexplore.ieee.org
Activity recognition is required in various applications such as medical monitoring and
rehabilitation. Previously developed activity recognition systems utilizing triaxial …

[HTML][HTML] Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: systematic …

AH Sapci, HA Sapci - JMIR aging, 2019 - aging.jmir.org
Background: The increase in life expectancy and recent advancements in technology and
medical science have changed the way we deliver health services to the aging societies …

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure

J Qi, P Yang, L Newcombe, X Peng, Y Yang, Z Zhao - Information Fusion, 2020 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …

A novel ensemble ELM for human activity recognition using smartphone sensors

Z Chen, C Jiang, L **e - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Human activity recognition plays a unique role in many important applications, including
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …

[HTML][HTML] Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches

V Farrahi, M Niemelä, M Kangas, R Korpelainen… - Gait & posture, 2019 - Elsevier
Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …