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Node-RED to get data from Emotiv Cortex V2","keywords":["Emotiv-BCI","node-red"],"repository":{"type":"git","url":""},"author":{"name":"Emotiv","email":"productsupport@emotiv.com","url":"https://www.emotiv.com/"},"readme":"\r\n# EmotivBCI Node-RED toolkit V2\r\n### **Only compatible to Emotiv Cortex Version 2**\r\n\r\n## About\r\nThe EmotivBCI Node-RED toolkit V2 is a custom library of nodes for [Node-RED](https://nodered.org/) which will allow you to interface [EMOTIV](https://www.emotiv.com/) wearable brain sensing technology with Node-RED and create brain-computer interface (BCI) integrations. More information can be found in our [User Guide](https://emotiv.gitbook.io/emotivbci-node-red-toolbox/).\r\n\r\nEmotivBCI Node-RED Toolbox works on MacOS and Windows.\r\n\r\n## Requirements\r\n- Install and use the [EmotivBCI](https://www.emotiv.com/emotiv-bci/) application to create your Training Profile for Mental Commands and Facial Expressions in the cloud.\r\n- Accept EMOTIV’s Developer’s License Agreement by installing and opening [Cortex App](https://www.emotiv.com/developer/) and following the instructions.\r\n- Install [NodeJS](https://nodejs.org/en/) and [Node-Red](https://nodered.org/docs/getting-started/installation). NodeJS LTS 8.x or later versions is recommended.\r\n- Get your client id and client secret from https://www.emotiv.com/my-account/cortex-apps/, put them in bci-config.js file.\r\n  \r\n## Install\r\nTo install EmotivBCI Nodes, run this command on Node-RED installation directory (**~/.node-red** by default). If the **.node-red** folder doesn't exist, run **node-red** program on Windows Command Prompt/MacOS Terminal to create it.\r\n\r\n```shell\r\n$ npm install node-red-contrib-emotiv-bci\r\n```\r\n\r\n**Note**: \r\n1. On the first run, you will need to approve access via EMOTIV app.\r\n2. Before deploying a flow using EmotivBCI Node-RED Toolbox, you need to be logged into and connected to our Cortex Service via EMOTIV applications.\r\n3. You may need to uninstall previous version of `node-red-contrib-emotiv-bci` before installing the latest version and delete previous node-red flows (inside ~/.node-red directory)\r\nOr after updating `node-red-contrib-emotiv-bci` to new version. It's recommended to backup your flows by exporting them, then delete those flow files.\r\n4. **If you have trouble while running the Emotiv nodes** (e.g. unable to load profile, nodes stuck at `Connecting...` status), you should check the websocket's messages.\r\nThe most simple way is adding `console.log(msg)` within `node.socket.on(\"message\")` function at `~/.node-red/node_modules/bci-node-red/emotiv-bci-node-red/emotiv-bci/bci-emotiv.js#line-59` (line 59 in bci-emotiv.js file), then check the output in Windows Command Prompt/MacOS Terminal.\r\nPlease also send the output log to Customer Support if you need additional assistance.\r\n\r\n## EmotivBCI node feature\r\n\r\n## EMOTIV\r\nThe EMOTIV node allows you to authenticate and connect to a logged-in EmotivID via Node-RED. This node is required for all EmotivBCI nodes and should be placed at the beginning of the EmotivBCI node sequence.\r\n#### Input: \r\nN/A\r\n#### Output: \r\nAuthorization token\r\n#### Note: \r\nYou must login with your EmotivID via one of EMOTIV’s Cortex-based applications (e.g. Cortex App, EmotivBCI).\r\n\r\n---\r\n\r\n## Profile Name\r\nThis node allows you to select a Training Profile that you created in the EmotivBCI application and that is associated with your EmotivID. This Profile will then be used in downstream Mental Commands or Facial Expression nodes.\r\n#### Input: \r\nAuthorization token\r\n#### Output: \r\nArray contains authorization token and profile name\r\n#### Properties: \r\nProfile name: String\r\n#### Note: \r\nThis Profile name must match one associated with the EmotivID logged in to Cortex and Node-RED. Do not include this node if you want to use the Training Profile currently open in EmotivBCI.\r\n\r\n---\r\n\r\n## Mental Commands\r\nThis node will output the value of a Mental Command that you have trained in our EmotivBCI application. In the node, you can select which Mental Command you would like to use (e.g. “Push”, “Pull” or “Lift”).\r\n#### Input: \r\nArray contains authorization token and profile name\r\n#### Output: \r\nInteger [0-100] at a frequency rate of up to 8 Hz\r\n#### Properties: \r\nSensitivity: Int [1-10]\r\n#### Note: \r\nYou can set the sensitivity for the command. Low values will make the command harder to be triggered (resulting in fewer false positives), and vice versa. The selected Training Profile must contain training data for the selected Mental Command in this node, and the profile must be synced to the cloud in order to function. For example, if you select \"Push\" in the node, your Training Profile must have at least 1 training session accepted for \"Push\" in EmotivBCI app. \r\n\r\n---\r\n\r\n## Facial Expressions\r\nThis node will output the value of our Facial Expression detection and allows you to choose the expression you would like to use (e.g. “Smile”, “Blink” or “Frown”). You can use the default Facial Expression detections or your trained Facial Expressions. To use the trained detections, place the Profile node in front of the Facial Expressions node. To use the default detections, connect this node directly to the EMOTIV node.\r\n#### Input:\r\nArray contains authorization token and profile name **OR** Authorization token\r\n#### Output:\r\nInteger [0-100] at a frequency rate of up to 16Hz\r\n#### Properties: \r\nAction: String  \r\nThreshold: Int [0-1000]\r\n#### Note: \r\nYou can also set the threshold for the expression. Low values will make the expression harder to be triggered (resulting in fewer false positives), and vice versa. If you are using trained expressions, the Training Profile that you have selected must have training data for the specific Facial Expression that you select in this node and your profile must be synced to the cloud in order to function. For example, if you select \"Smile\" in the node, your Training Profile must have at least 1 training session accepted for \"Smile\" in EmotivBCI.\r\n\r\n---\r\n\r\n## Performance Metrics\r\nThis node outputs the value of our Performance Metrics detection and allows you to select which metric you would like to use (from choices: excitement, interest, engagement, stress, focus, relaxation). This node does not require input from a Profile node.\r\n#### Input:\r\nAuthorization token \r\n#### Output:\r\nInteger [0-100], at a frequency rate of 0.1 Hz\r\n#### Properties: \r\nAction: String | N/A\r\n\r\n---\r\n\r\n## Frequency Band\r\nThis node outputs Frequency Band Power at a frequency rate of 8Hz and allows you to select which band (e.g. alpha) you would like to use.\r\n#### Input:\r\nAuthorization token\r\n#### Output:\r\nInteger, at a frequency rate of 32, 64 or 128 Hz (depending on headset and configuration)\r\n#### Properties: \r\nBand: String | N/A\r\n\r\n---\r\n\r\n## Motion Sensors\r\nThis node outputs the value from your headset Motion Sensors and allows you to select motion data stream you would like to use.\r\n#### Input:\r\nAuthorization token\r\n#### Output:\r\nInteger, at a frequency rate of 32, 64 or 128 Hz (depending on headset and configuration)\r\n#### Properties: \r\nSensor: String","readmeFilename":"README.md"}