This profile (side-view) training is appropriate for people wishing to build on their frontal-view micro expression knowledge, and is appropriate for anybody who works in groups. Whenever multiple people are present, we often see only the profile view of some individuals. In addition, those working in surveillance can greatly benefit from this training.
Micro Expression Training Tool 3.0 Download
Download File: https://tweeat.com/2vETD6
Beginning the day you purchase your training tools package, you may access and begin your training. During that time, you are granted unlimited use of the tools in that package. You can (and we suggest you do) use your tools frequently for additional practice. Subscription lengths vary across packages, please review our Compare Features chart for more information.
The online training tools are interactive modules which help you learn to detect micro expressions and respond to emotional expressions. There are a total of seven training tools which are combined into three different packages. The format of each tool is a little different but generally follows a series of learning, practice, and test sections to measure your accuracy and improvement over time.
The Facial Action Coding System (FACS) is a downloadable PDF manual. It is a comprehensive, anatomically based system for describing all visually discernible facial movement which breaks down facial expressions into individual components of muscle movement. It takes at least 100 hours of self-study to learn and it has been used extensively in a wide variety of medical, psychological research, and commercial contexts. You can learn FACS the traditional, self-guided way, or through a workshop.
The online training tools are designed to teach you the everyday skills of reading and responding to micro expressions, whereas the FACS manual is a much more technical guide often used by researchers, animators, and in other various professional settings. Therefore, for anyone interested in learning about micro expressions, we generally recommend starting with the training tools on this page.
Table 2. Coordinates in Montreal Neurologic Institute (MNI) space and associated t scores showing the BOLD differences for the contrast of emotional contexts followed by the same microexpressions.
Experiment design. (A) Experimental procedure. Two visits were made. In the first visit, participants underwent anodal or sham stimulation and then completed the Chinese version of Micro-Expression Training Tool (METT); in the second visit 2 weeks later, they only finished the Chinese version of METT. The Chinese version of METT included five sections, pre-test, training, practice, review, and post-test. In the sections of pre-test and post-test, participants were asked to choose one of eight emotion labels after seeing the stimuli. The stimuli of pre-test included static expressions, artificial and spontaneous micro-expressions. The stimuli of post-test included artificial and spontaneous micro-expressions. (B) Placement of the anodal electrode for the right temporal parietal junction (rTPJ) between P6 and CP6 regions (top row) and the normalized electric field (NormE) derived from electric field modeling calculations using SimNIBS (bottom row). (C) The time series of artificial and spontaneous micro-expression in disgust. Source: L.F. Chen and Y.S. Yen, Taiwanese facial expression image database, Brain Mapping Laboratory, Institute of Brain Science, National Yang-Ming University, 2007.
The next section of the training included several Chinese versions of commentary videos in which the narrator emphasized critical facial features and explained how to recognize and distinguish confusing emotions accurately. In the practice section, participants practiced with feedback to ensure they understood and internalized the knowledge and skills learned in the earlier section. The review section repeated the training section. The final post-test followed the same form as the pre-test, but alternative materials were used to assess the ability of artificial and spontaneous micro-expression recognition after training.
Repeated ANOVA indicated a training effect on artificial micro-expression recognition. The mean accuracy of artificial micro-expression recognition for each condition is displayed in Figure 2A. The main effect of the testing stage was significant for the first visit [F(1,56) = 146.91, pcorrected
Similar training effects were found in spontaneous micro-expression recognition (see Figure 2B). The main effect of the testing stage was significant (first visit: F(1,56) = 23.78, pcorrected
Correlations between empathic traits and mean improved accuracy of overall spontaneous micro-expressions, and mean improved accuracy of spontaneous micro-expression of fear and sadness in the anodal and sham group.
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