Smart textiles and sensorized garments for physiological monitoring: A review of available solutions and techniques

A Angelucci, M Cavicchioli, IA Cintorrino, G Lauricella… - Sensors, 2021 - mdpi.com
Several wearable devices for physiological and activity monitoring are found on the market,
but most of them only allow spot measurements. However, the continuous detection of …

[HTML][HTML] Sensor fusion and smart sensor in sports and biomedical applications

JJA Mendes Jr, MEM Vieira, MB Pires, SL Stevan Jr - Sensors, 2016 - mdpi.com
The following work presents an overview of smart sensors and sensor fusion targeted at
biomedical applications and sports areas. In this work, the integration of these areas is …

The benefits of self-awareness and attention in fog and mist computing

JS Preden, K Tammemäe, A Jantsch, M Leier… - Computer, 2015 - ieeexplore.ieee.org
Self-awareness facilitates a proper assessment of cost-constrained cyber-physical systems,
allocating limited resources where they are most needed. Together, situation awareness …

Lifelogging data validation model for internet of things enabled personalized healthcare

P Yang, D Stankevicius, V Marozas… - … on Systems, Man …, 2016 - ieeexplore.ieee.org
Internet of Things (IoT) technology offers opportunities to monitor lifelogging data by a
variety of assets, like wearable sensors, mobile apps, etc. But due to heterogeneity of …

[HTML][HTML] Dairy cattle rumen bolus developments with special regard to the applicable artificial intelligence (AI) methods

É Hajnal, L Kovács, G Vakulya - Sensors, 2022 - mdpi.com
It is a well-known worldwide trend to increase the number of animals on dairy farms and to
reduce human labor costs. At the same time, there is a growing need to ensure economical …

A smart wearable system for short-term cardiovascular risk assessment with emotional dynamics

FP Akbulut, A Akan - Measurement, 2018 - Elsevier
Recent innovative treatment and diagnostic methods developed for heart and circulatory
system disorders do not provide the desired results as they are not supported by long-term …

Power-efficient interrupt-driven algorithms for fall detection and classification of activities of daily living

J Yuan, KK Tan, TH Lee, GCH Koh - IEEE Sensors Journal, 2014 - ieeexplore.ieee.org
Falls lead to major health problems for the elderly. Immediate help could lower the risk of
complications and death and greatly increase the likelihood of returning to independent …

DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring

T Hai, MZA Bhuiyan, J Wang, T Wang, DF Hsu, Y Li… - Information …, 2020 - Elsevier
Recently, there have been extensive studies on applying security and privacy protocols in
Body Sensor Networks (BSNs) for patient healthcare monitoring (BSN-Health). Though …

A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation

CW Lin, YTC Yang, JS Wang… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a wearable module and neural-network-based activity classification
algorithm for energy expenditure estimation. The purpose of our design is first to categorize …

Novel features for intensive human activity recognition based on wearable and smartphone sensors

A Nandy, J Saha, C Chowdhury - Microsystem Technologies, 2020 - Springer
On the lap of this modern era, human activity recognition (HAR) has been of great help in
case of health monitoring and rehabilitation. Existing works mostly use one or more specific …