Updated documentation
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---
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As for our project, we've made the following design choices for our infrastructure.
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We've decided to implement a NodeJS server on a Raspberry Pi, which will handle the requests for retrieving exercises.
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This server will communicate with a MariaDB database, which contains the exercise data.
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The Pepper robot will host a web server, which will handle the incoming rotational data from an ESP8266.
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This data will then be processed by a motion processor class, `InputProcessor`, which will compare the rotational data
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to the data of the current exercise and show how well the user is performing.
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Down below is a visual representation of how this infrastructure will look like.
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```mermaid
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graph TB
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subgraph "Raspberry Pi"
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server[NodeJS Server\nHandles requests for\nexercises]
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db[Database]
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server --Fetch exercise--> db
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db --Exercise--> server
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server[NodeJS Server\n\nHandles requests for\nretrieving exercises]
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db[Database - MariaDB\n\nContains exercise data]
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server --Fetch database entry--> db
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db --Return retrieved entry--> server
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end
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subgraph "Pepper Robot"
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webServer[Web Server\n\nHandles incoming rotational data\nfrom ESP8266]
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motionProcessor[Motion Processor\n\nProcesses rotational data,\ncompares it to the current exercise\nand shows the statistics on the screen]
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ui[User Interface\n\nShows the current exercise,\nhow to perform it and the\nstatistics of the user's performance]
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motionProcessor --Send HTTP GET for Exercise--> server
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server --Send exercise in JSON format--> motionProcessor
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server --Send exercise data\nin JSON format--> motionProcessor
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webServer --Process rotational data--> motionProcessor
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motionProcessor --Show statistics\non the UI--> ui
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end
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subgraph "Motion Sensing Device"
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esp[ESP8266\n\nMeasures sensor data\nand sends it to the web server]
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gyro[Gyroscope\n\nMeasures rotational data\nand sends it to the ESP8266]
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gyro[Gyroscope\n\nMeasures rotational data\n(Rx, Ry, Rz)]
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esp --Send rotational data\nto Pepper Web Server--> webServer
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gyro <--> esp
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gyro <---> esp
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end
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```
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