Artificial intelligence-powered electronic skin

C Xu, SA Solomon, W Gao - Nature Machine Intelligence, 2023 - nature.com
Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …

The progress of research into flexible sensors in the field of smart wearables

Y Yin, C Guo, H Li, H Yang, F Xiong, D Chen - Sensors, 2022 - mdpi.com
In modern society, technology associated with smart sensors made from flexible materials is
rapidly evolving. As a core component in the field of wearable smart devices (or 'smart …

Towards machine learning-based detection of running-induced fatigue in real-world scenarios: Evaluation of IMU sensor configurations to reduce intrusiveness

L Marotta, JH Buurke, BJF van Beijnum, J Reenalda - Sensors, 2021 - mdpi.com
Physical fatigue is a recurrent problem in running that negatively affects performance and
leads to an increased risk of being injured. Identification and management of fatigue helps …

Machine learning an intelligent approach in process industries: A perspective and overview

N Khan, SA Ammar Taqvi - ChemBioEng Reviews, 2023 - Wiley Online Library
The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …

Test-retest reliability, validity, and responsiveness of a textile-based wearable sensor for real-time assessment of physical fatigue in construction bar-benders

S Anwer, H Li, MF Antwi-Afari, W Umer… - Journal of Building …, 2021 - Elsevier
While recent studies have shown that wearable sensing technology has the potential to
facilitate the evaluation of physical fatigue, the reliability and validity of such measurements …

[HTML][HTML] Identification of runner fatigue stages based on inertial sensors and deep learning

P Chang, C Wang, Y Chen, G Wang… - … in Bioengineering and …, 2023 - ncbi.nlm.nih.gov
Introduction: Running is one of the most popular sports in the world, but it also increases the
risk of injury. The purpose of this study was to establish a modeling approach for IMU-based …

The effect of music tempo on fatigue perception at different exercise intensities

J Wu, L Zhang, H Yang, C Lu, L Jiang… - International Journal of …, 2022 - mdpi.com
Background: This study aimed to clarify the effect of music tempo on runners' perception of
fatigue at different exercise intensities and while listening to music of different tempos …

On the Intersection of Explainable and Reliable AI for physical fatigue prediction

S Narteni, V Orani, E Cambiaso, M Rucco… - IEEE …, 2022 - ieeexplore.ieee.org
In the era of Industry 4.0, the use of Artificial Intelligence (AI) is widespread in occupational
settings. Since dealing with human safety, explainability and trustworthiness of AI are even …

A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables

MN Yasar, M Sica, B O'Flynn, S Tedesco, M Menolotto - Scientific Data, 2024 - nature.com
Wearable sensors have recently been extensively used in sports science, physical
rehabilitation, and industry providing feedback on physical fatigue. Information obtained …

Recognition system of human fatigue state based on hip gait information in gait patterns

S Shi, Z Cao, H Li, C Du, Q Wu, Y Li - Electronics, 2022 - mdpi.com
Fatigue is a common phenomenon in sports and affects sports performance. The production
of fatigue during running increases the risk of sports-related injury. People with high physical …