myo-processing | Contributed library to use multiple Myo 's in Processing

by nok Java Version: v0.9.0.2 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions Vulnerabilities Install Support

kandi X-RAY | myo-processing Summary

myo-processing is a Java library. myo-processing has no bugs, it has no vulnerabilities and it has low support. However myo-processing build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The [Myo] armband lets you use the electrical activity in your muscles to wirelessly control your computer, phone, and other favorite digital technologies. With the wave of your hand, it will transform how you interact with your digital world.

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Quality

Security

License

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Support

myo-processing has a low active ecosystem.

It has 52 star(s) with 13 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 12 have been closed. On average issues are closed in 186 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of myo-processing is v0.9.0.2

Quality

myo-processing has 0 bugs and 0 code smells.

Security

myo-processing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

myo-processing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

myo-processing has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

myo-processing releases are available to install and integrate.

myo-processing has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

myo-processing saves you 2935 person hours of effort in developing the same functionality from scratch.

It has 6336 lines of code, 111 functions and 27 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed myo-processing and discovered the below as its top functions. This is intended to give you an instant insight into myo-processing implemented functionality, and help decide if they suit your requirements.

Handles the current orientation data
Identifies a device
Route a specific method invocation
Enable EMG mode
Called when a pose is received
Connects to a Myoo
Called when a device is un - pair
Called when a device is unlock
Called when a device is locked
From interface Myo
Called when an ARM is unsynchronized
Callback when a battery level is received
Invoked when a device is received
Handles RSSI request
Checks if native libraries are available
Called by Gyrroscope data
Process EMG data
Read accelerometer data
Call this method when the device is connected
Called when a warmup is completed

Get all kandi verified functions for this library.

myo-processing Key Features

No Key Features are available at this moment for myo-processing.

myo-processing Examples and Code Snippets

Basics

Java

Lines of Code : 216

License : Non-SPDX (NOASSERTION)

Copy

import de.voidplus.myo.*;

Myo myo;

void setup() {
  size(800, 400);
  background(255);
  // ...

  myo = new Myo(this);
  // myo = new Myo(this, true); // enable EMG data
}

void draw() {
  background(255);
  // ...
}


// =========================

Community Discussions

No Community Discussions are available at this moment for myo-processing.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install myo-processing

[Myo for Processing v0.9.0.3](download/MyoForProcessing.zip?raw=true).
[Myo for Processing v0.9.0.3](download/MyoForProcessing.zip?raw=true)
Unzip and put the extracted MyoForProcessing folder into the libraries directory of your Processing sketches. The References and examples are stored in the MyoForProcessing directory. For more help read the [tutorial](http://www.learningprocessing.com/tutorials/libraries/) by [Daniel Shiffman](https://github.com/shiffman).