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Surface electromyography (sEMG) signal is one of the best choices for building human machine interfaces due to its non-invasive nature and ease of capturing. The proposed work aims at classifying the pronation and supination movements of the forearm. The primary actuators of these movements are located in the forearm whereas upper arm muscles provide assistance. Instead of forearm muscles, upper arm...
Diabetic retinopathy (DR) is an eye abnormality caused by long term diabetes and it is the most common cause of blindness before the age of 50. Microaneurysms (MAs), resulting from leakage from retinal blood vessels, are early indicators of DR, yielding a large body of diagnostic work focused on automatic detection of MA. However, automated detection of MAs is difficult because (1) the small size...
Feature extraction and classifier is crucial for content-based image retrieve and analysis. In this paper, a novel method for handwritten numeral image extraction is proposed based on Random Forest(RF) and Histogram of Oriented Gradient(HOG). The main contribution of the proposed method is to consider the advantage of HOG and RF. Further, our method extract the impactful information of image, and...
The research of facial beauty is an interdisciplinary topic involved in psychology, aesthetics, computer version and machine learning. In this paper, we propose several methods to assess facial beauty under unconstrained conditions. Our main works are as follows: First, we apply the local binary pattern (LBP) descriptor in different bins for face representation. We tried different types of LBP methods...
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