emokit | Open source driver for accessing raw data | Dataset library

by openyou Python Version: 0.0.8 License: Non-SPDX

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

kandi X-RAY | emokit Summary

emokit is a Python library typically used in Artificial Intelligence, Dataset, Nodejs applications. emokit has no bugs, it has no vulnerabilities and it has high support. However emokit build file is not available and it has a Non-SPDX License. You can install using 'pip install emokit' or download it from GitHub, PyPI.

Emokit is a set of language for user space access to the raw stream data from the Emotiv EPOC headset. Note that this will not give you processed data (i.e. anything available in the Emo Suites in the software), just the raw sensor data.

Support

Quality

Security

License

Reuse

Support

emokit has a highly active ecosystem.

It has 479 star(s) with 230 fork(s). There are 47 watchers for this library.

It had no major release in the last 12 months.

There are 61 open issues and 144 have been closed. On average issues are closed in 103 days. There are 5 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of emokit is 0.0.8

Quality

emokit has 0 bugs and 0 code smells.

Security

emokit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

emokit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

emokit 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

emokit releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

emokit saves you 1307 person hours of effort in developing the same functionality from scratch.

It has 2933 lines of code, 136 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Start the reader
Get data from the decrypted queue
Adds a task to the queue
Return True if there are data available
Run the tasks
Return the quality level for a given quality scale
Get the quality level for a given quality value
Run the stream
Return a string representation of the data
Print the bits of the given bytes
Main thread
Generate crypto key
Generate a crypto key from a serial number
Create a new AES cipher
Prints the device enumeration
Setup the emotiv device
Print device enumeration
Handle a quality value
Handle quality value
Open the hid device
Draw the buffer
Extract the level of the data
Read data from the device
Print the values at the given position
Dequeue the next packet
Generate a random key
Check for correct key

Get all kandi verified functions for this library.

emokit Key Features

No Key Features are available at this moment for emokit.

emokit Examples and Code Snippets

No Code Snippets are available at this moment for emokit.

Community Discussions

Trending Discussions on emokit

How to interpret and use Emokit data?

QUESTION

How to interpret and use Emokit data?

Asked 2017-Apr-08 at 15:15

I am using EmoKit (https://github.com/openyou/emokit) to retrieve data. The sample data looks like as follows:

...

ANSWER

Answered 2017-Apr-08 at 15:15

As described in the frequently asked questions of emokit, :

What unit is the data I'm getting back in? How do I get volts out of it?

One least-significant-bit of the fourteen-bit value you get back is 0.51 microvolts. See the specification for more details.

Looking for the details in the specification (via archive.org), we find the following for the "Emotiv EPOC Neuroheadset":

Source https://stackoverflow.com/questions/43291176

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

Vulnerabilities

No vulnerabilities reported

Install emokit

You can install using 'pip install emokit' or download it from GitHub, PyPI.
You can use emokit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.