Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

The dilemma of analyzing physical activity and sedentary behavior with wrist accelerometer data: challenges and opportunities

Z Gao, W Liu, DJ McDonough, N Zeng… - Journal of Clinical …, 2021 - mdpi.com
Physical behaviors (eg, physical activity and sedentary behavior) have been the focus
among many researchers in the biomedical and behavioral science fields. The recent shift …

[HTML][HTML] The effect of sensor placement and number on physical activity recognition and energy expenditure estimation in older adults: Validation study

A Davoudi, MT Mardini, D Nelson… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Research has shown the feasibility of human activity recognition using
wearable accelerometer devices. Different studies have used varying numbers and …

IoT architecture for continuous long term monitoring: Parkinson's Disease case study

O d'Angelis, L Di Biase, L Vollero, M Merone - Internet of Things, 2022 - Elsevier
In recent years, technological advancements and the strengthening of the Internet of Things
concepts have led to significant improvements in the technology infrastructures for remote …

[HTML][HTML] Physical Activity Pattern of Adults With Metabolic Syndrome Risk Factors: Time-Series Cluster Analysis

J Kim, JY Choi, H Kim, T Lee, J Ha, S Lee… - JMIR mHealth and …, 2023 - mhealth.jmir.org
Background: Physical activity plays a crucial role in maintaining a healthy lifestyle, and wrist-
worn wearables, such as smartwatches and smart bands, have become popular tools for …

Using smartwatches to detect face touching

C Bai, YP Chen, A Wolach, L Anthony, MT Mardini - Sensors, 2021 - mdpi.com
Frequent spontaneous facial self-touches, predominantly during outbreaks, have the
theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the …

Developing an ethical framework for responsible artificial intelligence (AI) and machine learning (ML) applications in cryptocurrency trading: A consequentialism ethics …

H Alibašić - FinTech, 2023 - mdpi.com
The rise in artificial intelligence (AI) and machine learning (ML) in cryptocurrency trading has
precipitated complex ethical considerations, demanding a thorough exploration of …

Breed identification of meat using machine learning and breed tag SNPs

Z Xu, S Diao, J Teng, Z Chen, X Feng, X Cai, X Yuan… - Food Control, 2021 - Elsevier
Numerous influential animal breeds and plant varieties provide high-quality and nutritious
foods for human. The popularity and high profit of premium foods usually accompany with …

[HTML][HTML] Assessing the mental health of emerging adults through a mental health app: protocol for a prospective pilot study

A Yunusova, J Lai, AP Rivera, S Hu… - JMIR Research …, 2021 - researchprotocols.org
Background: Individuals can experience different manifestations of the same psychological
disorder. This underscores the need for a personalized model approach in the study of …

Workloads of intensive care nurses. Validity of their estimation using mobile applications and comparison with Nursing Activities Score. Systematised review of the …

MM Sánchez-Sánchez, C Campos-Asensio… - … Intensiva (English ed.), 2023 - Elsevier
Introduction Adjusting human resources to intensive care units (ICU) workload is essential.
The development of software for estimating nursing workload using mobile devices …