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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...
In this paper, we propose a method for non-contact measurement of knee load. Joint position data is acquired with image analysis. Masses and centers of gravity on each segment of human body is estimated with a multiple linear regression model. Knee torque is estimated based on kinetics and these data, and it is used index value of knee load. In the proposing method, human body is not restricted and...
Numerous researchers have investigated the relationship between EMG and joint torque. Most of these studies use some conventional filtering (i.e. rectification followed by low pass filtering) to estimate the electromyogram (EMG) amplitude and then relate it to the joint torque. Currently some advanced pre-processing techniques (i.e. signal whitening) are also used to estimate the EMG amplitude and...
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