Machine learning and computation-enabled intelligent sensor design

Z Ballard, C Brown, AM Madni, A Ozcan - Nature Machine Intelligence, 2021 - nature.com
Over the past several decades the dramatic increase in the availability of computational
resources, coupled with the maturation of machine learning, has profoundly impacted …

A survey of wearable devices and challenges

S Seneviratne, Y Hu, T Nguyen, G Lan… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
As smartphone penetration saturates, we are witnessing a new trend in personal mobile
devices-wearable mobile devices or simply wearables as it is often called. Wearables come …

Wearable sensors for remote health monitoring

S Majumder, T Mondal, MJ Deen - Sensors, 2017 - mdpi.com
Life expectancy in most countries has been increasing continually over the several few
decades thanks to significant improvements in medicine, public health, as well as personal …

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

R Gravina, P Alinia, H Ghasemzadeh, G Fortino - Information Fusion, 2017 - Elsevier
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Photoplethysmography in wearable devices: a comprehensive review of technological advances, current challenges, and future directions

KB Kim, HJ Baek - Electronics, 2023 - mdpi.com
Photoplethysmography (PPG) is an affordable and straightforward optical technique used to
detect changes in blood volume within tissue microvascular beds. PPG technology has …

[HTML][HTML] The adoption of artificial intelligence in human resources management practices

N Nawaz, H Arunachalam, BK Pathi… - International Journal of …, 2024 - Elsevier
This study explores the impact of Artificial Intelligence (AI) on Human Resources
Management Practices. By focusing on key outcomes such as accuracy, automation …

A systematic review of wearable sensors for monitoring physical activity

A Kristoffersson, M Lindén - Sensors, 2022 - mdpi.com
This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …

Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors

N Shawen, MK O'Brien, S Venkatesan, L Lonini… - … of neuroengineering and …, 2020 - Springer
Background Parkinson's disease (PD) is a progressive neurological disease, with
characteristic motor symptoms such as tremor and bradykinesia. There is a growing interest …

An IoT‐based diet monitoring healthcare system for women

S Suganyadevi, D Shamia… - Smart healthcare system …, 2022 - Wiley Online Library
One of the significant elements of smart healthcare and the smart home is diet tracking. With
an injective monitoring system to track one's eating frequency, researchers have addressed …