[HTML][HTML] Sensors for daily life: A review

M Javaid, A Haleem, S Rab, RP Singh, R Suman - Sensors International, 2021 - Elsevier
Sensor technologies have improved the everyday life of human beings through their
applications in almost all fields. Sensors are devices that detect changes in the …

Sensors and algorithms for locomotion intention detection of lower limb exoskeletons

D Wang, X Gu, H Yu - Medical Engineering & Physics, 2023 - Elsevier
In recent years, lower limb exoskeletons (LLEs) have received much attention due to the
potential to help people with paraplegia regain the ability of upright-legged locomotion …

[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 …

Radar recorded child vital sign public dataset and deep learning-based age group classification framework for vehicular application

S Yoo, S Ahmed, S Kang, D Hwang, J Lee, J Son… - Sensors, 2021 - mdpi.com
The ongoing intense development of short-range radar systems and their improved
capability of measuring small movements make these systems reliable solutions for the …

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 …

A perspective on human activity recognition from inertial motion data

W Gomaa, MA Khamis - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

[HTML][HTML] An analytical comparison of datasets of real-world and simulated falls intended for the evaluation of wearable fall alerting systems

E Casilari, CA Silva - Measurement, 2022 - Elsevier
Automatic Fall detection is one of the most promising applications of wearables in the field of
mobile health. The characterization of the effectiveness of wearable fall detectors is …

Remote health monitoring systems for elderly people: a survey

S Ahmed, S Irfan, N Kiran, N Masood, N Anjum… - Sensors, 2023 - mdpi.com
This paper addresses the growing demand for healthcare systems, particularly among the
elderly population. The need for these systems arises from the desire to enable patients and …

Bedtime monitoring for fall detection and prevention in older adults

J Fernández-Bermejo Ruiz, J Dorado Chaparro… - International journal of …, 2022 - mdpi.com
Life expectancy has increased, so the number of people in need of intensive care and
attention is also growing. Falls are a major problem for older adult health, mainly because of …