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Falls threaten the health and life of the elders heavily because they lead to injuries or even death. Therefore, a reliable monitoring and alarm mechanism is desperately in need to guarantee the quality of elders' life. In this paper, we propose a multistage machine learning method to perform fall detection and solve the false alarm and missing alarm problem in traditional fall detection methods....
Many studies of the mining of big learning data focus on user access patterns and video-viewing behaviors, while less attention is paid to the active video-viewing time. This paper pinpoints this completely different analysis unit, models the extent to which factors influence it and further predicts when a user permanently leaves a course. The goal is to provide new insights and tutorials regarding...
In this study, mechanomyography (MMG) was used to evaluate the effectiveness and sensibility of the degree of muscle fatigue. The preprocessed MMG signal was decomposed by 6-scale discrete wavelet transform (DWT) to acquire the coefficients of each scale. The coefficients of low frequency of scale 3, 4, 5 (A3, A4, A5) were used to reconstruct signals respectively. Frequency-domain features were extracted,...
Glossoscopy is an important part of Traditional Chinese Medicine (TCM). To analyze the tongue properties objectively, we need extract the tongue region from images. This paper presents a method to segment the tongue images based on kernel FCM (Fuzzy Cluster means). Firstly we pre-processed the tongue images by gray-level integral projection. Secondly the features were extracted to form a feature vector...
Place or scene recognition is an important competence of mobile robots for operating in a real dynamic environment. Latent Dirichlet Allocation (LDA), a popular probabilistic model, can achieve outstanding performance in image recognition, and it has been attracted the attention of a large number of researchers. Parameter estimation is a key step for the learning procedure of LDA. In this paper, we...
Understanding the behaviors of a software system is very important for performing daily system maintenance tasks. In practice, one way to gain knowledge about the runtime behavior of a system is to manually analyze system logs collected during the system executions. With the increasing scale and complexity of software systems, it has become challenging for system operators to manually analyze system...
This paper proposes a fault diagnosis method for analog circuits based on a combination of wavelet packet transformation and SOFM network, which uses wavelet packet decomposition as pre-processing and denoising tool for multi-scale decomposition and denoising on the sampling signal of electric circuit, and for energy feature extraction and normalization as sample input to the neural network. Neurons...
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