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mental_effort_and_familiarity_faq [2014/08/08 00:33] Tim Au |
mental_effort_and_familiarity_faq [2014/12/05 00:10] Tim Au |
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| **What is the key to reading the data? Are there any ways to interpret them?** | **What is the key to reading the data? Are there any ways to interpret them?** | ||
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| + | <note>Mental Effort and Familiarity have been released in beta. During this time, we are continuing to take in feedback and make refinements to improve the reliability of these algorithms. Please note that these algorithm are based on determining a status from your brain - refining data through comparisons. Within the beta, there is a 1-minute time boundary where the first minute of data should be used only for larger-scale trend observation and not be included within your dataset. If there are any future changes to this condition, it will be detailed here.</note> | ||
| Please read the document “Reading Mental Effort and Familiarity.pdf” in the current folder. Additionally, your understanding of the algorithm can be reinforced by your own experience using the algorithms (e.g. while trying out our demo apps). | Please read the document “Reading Mental Effort and Familiarity.pdf” in the current folder. Additionally, your understanding of the algorithm can be reinforced by your own experience using the algorithms (e.g. while trying out our demo apps). | ||
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| - | You should refer to the development guide (ThinkGear SDK for .NET - Development Guide and API Reference.pdf). API references related to these algorithms are under the sections API Reference/Connector class and API Reference/Algorithms.MentalEffort class. Technical descriptions and a step-by- | + | You should refer to the development guide that comes with your .NET / Android SDK package (e.g. ThinkGear SDK for .NET - Development Guide and API Reference.pdf). API references related to these algorithms are either under the sections API Reference/Connector class and API Reference/Algorithms.MentalEffort class in the development guide (.NET), or in the "reference" folder (Android). Technical descriptions and a step-by- |
| step implementation guide can be found in the sections ThinkGear Data Types/EEG/MENTAL EFFORT and ThinkGear Data Types/EEG/FAMILIARITY. | step implementation guide can be found in the sections ThinkGear Data Types/EEG/MENTAL EFFORT and ThinkGear Data Types/EEG/FAMILIARITY. | ||
| - | We also have a sample C# project demonstrating a basic implementation of Mental Effort and Familiarity (with data collection and basic analysis). It could be found in \Sample Projects and Demos\HelloMEandF\. | + | We also have sample C# / Java projects demonstrating a basic implementation of Mental Effort and Familiarity (with data collection and basic analysis). It could be found in \Sample Projects and Demos\HelloMEandF\. |
| Additional platforms are forthcoming. | Additional platforms are forthcoming. | ||