This paper presents detailed studies in relevance of fatigue. Diverse aspects of fatigue, like causality data, risk factors and consequences have enlightened to address proper fatigue mechanism. Fatigue is going to be major issue in Asia, and has brought many deaths annually. Fatigue is a process that starts with risk factors, moves on to subjective perceptions of and concludes with the consequ...

Objectives: Skeletal-muscular disorders affect the biomechanics of the human body, especially the lower extremity, with a negative effect on the biomechanics of exercise. The main aim of this study was to evaluate the effect of fatigue on the kinematic variables of knee joints during countermovement jumps in female students of physical education with valgus knee deformity.  Methods: Fifte...

In this paper, we introduce a probabilistic framework based on the Bayesian Networks (BNs) for modelling and real-time inferring human fatigue by integrating information from various visual cues and certain relevant contextual information. We first present a static Bayesian network that captures the static relationships between fatigue, significant factors that cause fatigue, and various visual...

This study aims to validate, using finite element analysis (FEA), the design concept by comparing the fatigue behavior of hip implant stems coated with composite (carbon/PEEK) and polymeric (PEEK) coating materials corresponding to different human activities: standing up, normal walking and climbing stairs under dynamic loadings to find out which of all these models have a better performance in...

introduction: repetitive strain injuries are one of the most prevalent problems in occupational diseases. repetition, vibration and bad postures of the extremities are physical risk factors related to work that can cause chronic musculoskeletal disorders. repetitive work on a computer with low level contraction requires the posture to be maintained for a long time, which can cause muscle fatigu...

In order to improve the accuracy and real-time performance of driving fatigue detection, a driving fatigue detection method is proposed based on reduced support vector machine algorithm. The ECG indicators are treated as human fatigue characterization indicators in the method. The human ECG can be obtained through experiment in different state, and PERCLOS value in selecting and controlling env...

In this paper we focus on the modeling and evaluation of performance factors as human fatigue at joint level. We introduce the concept of half-joint pair to calculate fatigue at joint level, that is, at muscle groups level. The fatigue model is designed to enable to a posture optimization algorithm to adapt the human posture so that when fatigue appears it can be reduced. An Inverse Kinematics ...

The purpose of this study was to identify the changes in the force-frequency relationship (FFR) of the human quadriceps femoris muscle following electrically and voluntarily induced fatigue. Twenty nondisabled subjects each participated in one experimental session to test the effects of electrically induced fatigue on the FFR; 10 of these subjects participated in a second session in which volun...