Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related
incidents. Fatigue detection has been traditionally performed in lab conditions with …

Fatigue monitoring is significant during movement process to avoid body injury cased by
excessive exercise. To address this issue, we developed an automated framework to …

Moderate exercise is good for human health. However, when the exercise intensity exceeds
a certain level, it will be harmful to the human body. Therefore, precise control and …

Monitoring players' fatigue is essential to maintaining the best performance of players during
sports games. The level of fatigue can be measured by the external workload, the …

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 …

To date athlete/patient fatigue has been assessed using expensive laboratory equipment.
Inertial measurement unit (IMU) offer an opportunity to provide low-cost and non-intrusive …

The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

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 …

Introduction Fatigue is considered to have a life-threatening effect on human health and it
has been an active field of research in different sectors. Deploying wearable physiological …

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 …