This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Physical exercise (PE) is beneficial for both physical and psychological health aspects.
However, excessive training can lead to physical fatigue and an increased risk of lower limb …

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 …

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 …

Objective User-independent recognition of exercise-induced fatigue from wearable motion
data is challenging, due to inter-participant variability. This study aims to develop algorithms …

Although a number of studies attempt to classify human fatigue, most models can only
identify fatigue after fatigue has already occurred. In this paper, we propose a novel time …

Background: Optimal sports performance requires a balance between intensive training and
adequate rest. IMUs provide objective, quantifiable data to analyze performance dynamics …

This study aimed to systematically review the application and research progress of flexible
microfluidic wearable devices in the field of sports. The research team thoroughly …

Back-Support Industrial Exoskeletons (BSIEs) can be beneficial in reducing the risk of injury
due to overexertion during trunk flexion tasks. Most real-world tasks include complex body …

Fatigue detection based on electrocardiogram (ECG) from wearable devices is a convenient
approach during exercise. However, how to model the data variations of ECG time series …