mental_effort_and_familiarity_faq.txt · Last modified: 2015/01/28 19:23 by Tim Au

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mental_effort_and_familiarity_faq [2014/12/05 00:10]
Tim Au
mental_effort_and_familiarity_faq [2015/01/28 19:23] (current)
Tim Au
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-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-+You should refer to the development guide that comes with your .NET / Android ​/ iOS 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 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\.+We also have sample C# / Java / iOS 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.+The Mac platform is forthcoming.
  
  

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