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Stooped postures are commonly found in agricultural, construction, mining, and other workplaces all around world, and such workers are estimated to be in the 100s of millions worldwide. The work requiring stooped postures is strongly associated with high incidence of low back disorders (LBDs). According to biomechanics, the ideal static equilibrium model of stooped human body was established. A wearable...
In this paper, a 3-DOF parallel mechanism which is wearable for human hip joint power assist is proposed. Different from the conventional power assist system, the proposed wearable parallel mechanism is formed by both mechanical links/joints and human bones/joints. Considering the anatomical mechanism of human hip joint, the 3-DOF wearable system consists of two connected modules, the 3-DOF hip joint...
The Wearable Power Assist Leg(WPAL) in Feng Chen, et al, (2007) is designed for normal human power augmentation during walking. In this paper, the Force-sensors system of the WPAL has been theoretically analyzed and technically realized in order to gain the interactive movement information of human-robot system for the aim of estimating the operator's intentions and realizing to provide enough assistive...
A human-robot interaction (HRI) system could be more effective if it is intelligent enough to accurately measure and predict humans' moving intention and adapt their behaviors accordingly. By means of measuring biomechanical signals of human body to make such predication has been a challenging research topic. This paper presents results of our investigation to extract human's elbow joint motion intention...
The walking power assist leg (WPAL) is designed for normal human power augmentation during walking. WPAL tackles three fundamental problems. First, the architectural design is studied using ergonomics. Second, WPAL must understand the user motion intention. Then, the control algorithm is also investigated. In order to make WPAL work smoothly and provide power assist for user, we proposed a method...
In this paper, a wearable robot gives assistance or support to human locomotion is proposed, it will be of great value for certain activities or for special groups. As the wearable exoskeleton moves according to human intention, how to acquire human locomotion information accurately and quickly become so significantly. Firstly, we make a dynamic analysis of walking human body and build a correlative...
In this paper, we develop a novel digital-shot system for sensing the throwing force information of shot-put athletes in real time. The digital-shot has been designed and manufactured with the same external dimensions and weight as the normal shot for open females. The three axes integrated accelerometer, as a crucial device in the force sensing system, can acquire the kinetics data along three orthogonal...
Weightlifting is one of the most physically demanding sports. A successful lift is influenced by many factors. Among them, the ground reaction force (GRF) which is exerted on weight lifers during the motion process is crucial to the performance of a weight lifer, so the acquisition and analysis of GRF is very important to the scientific research of weightlifting. This paper describes GRF acquisition...
In this paper a novel prediction method of elbow torque from EMG signal using SVM is proposed. How to model the relations between EMG signals and various kinematical aspects of the movement behavior is a difficult problem in the researches of neurophysiology and biomechanics. Traditional prediction methods include using neural networks to model the relations. However, these methods suffer from several...
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