[HTML][HTML] Triboelectric nanogenerator enabled smart shoes for wearable electricity generation

Y Zou, A Libanori, J Xu, A Nashalian, J Chen - Research, 2020 - spj.science.org
The parallel evolution of wearable electronics, artificial intelligence, and fifth-generation
wireless technology has created a technological paradigm with the potential to change our …

Smart insoles review (2008-2021): Applications, potentials, and future

I Almuteb, R Hua, Y Wang - Smart Health, 2022 - Elsevier
During the past decade, smart insole-like devices become more and more popular in daily
applications, such as gait studies, activity recognition, health monitoring and evaluation …

Deep learning system for COVID-19 diagnosis aid using X-ray pulmonary images

J Civit-Masot, F Luna-Perejón, M Domínguez Morales… - Applied Sciences, 2020 - mdpi.com
Featured Application This work has direct applications to COVID-19 diagnosis. Abstract The
spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic …

[HTML][HTML] Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques

J Civit-Masot, A Bañuls-Beaterio… - Computer Methods and …, 2022 - Elsevier
Background Lung cancer has the highest mortality rate in the world, twice as high as the
second highest. On the other hand, pathologists are overworked and this is detrimental to …

[HTML][HTML] Worker's physical fatigue classification using neural networks

E Escobar-Linero, M Domínguez-Morales… - Expert Systems with …, 2022 - Elsevier
Physical fatigue is not only an indication of the user's physical condition and/or need for
sleep or rest, but can also be a significant symptom of various diseases. This fatigue affects …

Smart shoe insole based on polydimethylsiloxane composite capacitive sensors

F Luna-Perejón, B Salvador-Domínguez, F Perez-Peña… - Sensors, 2023 - mdpi.com
Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-
established technique. The use of intelligent insoles allows real-time monitoring of the user …

A deep-learning based posture detection system for preventing telework-related musculoskeletal disorders

E Piñero-Fuentes, S Canas-Moreno, A Rios-Navarro… - Sensors, 2021 - mdpi.com
The change from face-to-face work to teleworking caused by the pandemic has induced
multiple workers to spend more time than usual in front of a computer; in addition, the …

Feature analysis of smart shoe sensors for classification of gait patterns

U Sunarya, Y Sun Hariyani, T Cho, J Roh, J Hyeong… - Sensors, 2020 - mdpi.com
Gait analysis is commonly used to detect foot disorders and abnormalities such as
supination, pronation, unstable left foot and unstable right foot. Early detection of these …

AnkFall—Falls, falling risks and daily-life activities dataset with an ankle-placed accelerometer and training using recurrent neural networks

F Luna-Perejón, L Muñoz-Saavedra, J Civit-Masot… - Sensors, 2021 - mdpi.com
Falls are one of the leading causes of permanent injury and/or disability among the elderly.
When these people live alone, it is convenient that a caregiver or family member visits them …

Deep learning for walking behaviour detection in elderly people using smart footwear

R Aznar-Gimeno, G Labata-Lezaun, A Adell-Lamora… - Entropy, 2021 - mdpi.com
The increase in the proportion of elderly in Europe brings with it certain challenges that
society needs to address, such as custodial care. We propose a scalable, easily modulated …