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Human motion monitoring with body worn sensors is becoming increasingly important in health and wellness. However, achieving a robust recognition of physical activities or gestures despite variability in sensor placement is important for the real-world deployment of body sensor networks. A novel self-calibration process of sensor misplacement based on repetitive motion signatures is proposed. A rotation...
Recently, much work have been done on text emotion classification. However, they mainly focused on the emotions expressed by authors instead of the readers. In addition, researches on simplified Chinese text emotion classification are extremely less. In this paper, we proposed a simplified Chinese text emotion classification based on readers' emotions. Mass of documents with readers' emotion tag are...
The performance of support vector machines (SVM) drops significantly while facing imbalanced datasets, though it has been extensively studied and has shown remarkable success in many applications. Some researchers have pointed out that it is difficult to avoid such decrease when trying to improve the efficient of SVM on imbalanced datasets by modifying the algorithm itself only. Therefore, as the...
SVM is a novel statistical learning method that has been successfully applied in speaker recognition. However, Extractive feature vectors from the speech are overlapped and noisy is included in the original data space, these problems can lead to experience difficulties, training complication during training SVM, and the result will be reduced during the recognition phase. In this paper, a novel method...
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