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A network of Timepix (TPX) devices installed in the ATLAS cavern measures the LHC luminosity as a function of time as a stand-alone system. The data were recorded from 13-TeV proton–proton collisions in 2015. Using two TPX devices, the number of hits created by particles passing the pixel matrices was counted. A van der Meer scan of the LHC beams was analyzed using bunch-integrated luminosity averages...
A network of Timepix (TPX) devices installed in the ATLAS cavern measures the LHC luminosity as a function of time as a stand-alone system. The data were recorded from 13 TeV proton-proton collisions in 2015. Using two TPX devices, the number of hits created by particles passing the pixel matrices was counted. A van der Meer scan of the LHC beams was analysed using bunch-integrated luminosity averages...
The article focuses on a technique of gyroscope data processing and quantifying movement patterns of upper limb during walking. Four cheap gyroscopes were used. Using a novel method based on the trajectory length obtained by plotting shoulder and elbow joint angle vs. each other, provides information for a quantification of the complex arm movement as a whole in the sagittal plane. Two parameters...
This paper describes fuzzy logic expert system (FES) uses data about the Zero Moment Point (ZMP) position for automatically determining the gait phases. Simplified human body model is introduced for computation of ZMP position which is the input to the FES. Information about the type of gait phase is the output of FES. The designed fuzzy-rules based system was tested to evaluate the gait of twenty-two...
Nowadays, modern software systems and MoCap systems allow to monitor, in real-time and remotely, the muscle-tendon behavior. The aim of this article is to introduce a possible method of quantification of muscle length asymmetry which can be used for rehabilitation, and also for evaluating the functionality of the artificial muscles, i.e. actuators of prosthesis. A group of healthy children and children...
This paper presents an approach of human gait modeling and prediction using fuzzy inference system. In this system, lower limbs motion prediction is simplified by introducing fuzzy knowledge base to describe the whole motion. Our fuzzy knowledge base predicts contralateral lower limb joints angles. The concept of fuzzy knowledge is based on fuzzy membership function that represents knee angle and...
Prediction of the muscle-tendon behavior during walking is nowadays undergoing extensive analysis. The aim of this article is to introduce a possible method of predictions of muscle behavior which can be used for rehabilitation, and also for controlling the artificial muscles, actuators of prosthesis or rehabilitation facilities of the future. Our work focuses on predicting muscle-tendon lengths during...
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