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Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of...
Heart rate variability (HRV), a feature extracted from the heart rate signal, is commonly used for monitoring training loads, and fitness status within athletes. Various sensors can be used to ascertain HRV within athletes; two of which are considered within this investigation, namely PPG and ECG. We present methods for HRV collection and calculation using PPG, reducing HRV collection time requirement...
Human action recognition is a challenging research in computer vision applications because variety of human actions can be misclassified as some other action types. In this paper, we proposed a method for human action recognition based on dual tree complex wavelet transform (DTCWT). DTCWT has better edge representation and approximate shift-invariant properties compared to real-valued wavelet transforms...
Crowd density estimation for counting persons, or for determining interactions among persons, groups of people, or crowds has been a challenging problem since persons can be occluded by other persons in (highly) crowded situations. The successful development of such techniques has diverse purposes, such as reassigning limited resources (e.g., public transportation) properly by counting floating population...
Determination of model complexity is a challenging issue to solve computer vision problems using restricted boltzmann machines (RBMs). Many algorithms for feature learning depend on cross-validation or empirical methods to optimize the number of features. In this work, we propose an learning algorithm to find the optimal model complexity for the RBMs by incrementing the hidden layer. The proposed...
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