Jianzheng Liu

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Different head movements can help us not only understand accurately whether the speaker in question is in favor of or against the current topic but also recognize human expressions better, i.e. distinguishing similar expressions such as smile and scorn. Since the movements of the feature point -nostrils on the face and the movements of the head are almost(More)
Exposure to fine particulate matter (PM2.5) has been associated with mortality, but the extent of the adverse impacts differs across various regions. A quantitative estimation of health effects attributed to PM2.5 in China is urgently required, particularly because it has the largest population and high air pollution levels. Based on the remote(More)
A human facial expression is the formation of facial muscle movement. In our previous research, we proposed a method of identifying facial muscle movement which based on motion templates and GentleBoost. But the method was not robust enough to recognize human expression due to insufficient learning stage. So in this paper, we proposed a new method based on(More)
Particulate matter data obtained from the national air quality monitoring network in China has become an essential and critical data source for many current and forthcoming studies as well as the formulation and implementation of air pollution regulatory policies on particulate matter (PM2.5 and PM10). However, the quality control of this data is dubitable(More)
Extremely high fine particulate matter (PM2.5) concentration has become synonymous to Beijing, the capital of China, posing critical challenges to its sustainable development and leading to major public health concerns. In order to formulate mitigation measures and policies, knowledge on PM2.5 variation patterns should be obtained. While previous studies(More)
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