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There is an increasing attention of Online Health Communities (OHCs) where health consumers exchange informational and emotional support from their peers. However, the information overload issue makes it difficult for e-patients to identify relevant threads for their needs. An effective thread recommendation approach is highly desirable for OHCs to improve user experience. In this work, we propose...
Gaming control becomes popular based on the development of human-computer interface (HCI). Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control HCI systems based on eye movement detection and signal processing methods. However, there are currently no effective multi-directional classification methods for monitoring eye movements. In...
Electrooculography (EOG) signals can be used to control human–computer interface (HCI) systems, if properly classified. The ability to measure and process these signals may help HCI users to overcome many of the physical limitations and inconveniences in daily life. However, there are currently no effective multidirectional classification methods for monitoring eye movements. Here, we describe a classification...
This paper mainly deals with the problem of extracting the micro-Doppler feature. The micro-Doppler can be regarded as the unique signature of the micro-motion target. Based on introducing the concept of the micro-Doppler, a method is proposed to extract the micro-Doppler feature, which can estimate two micro-motion parameters, i.e., initial angle and frequency simultaneously. Then the mathematical...
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