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OpenDBM is a software package that allows for calculation of digital biomarkers of health and functioning from video or audio of an individual’s behavior.

Project description

OpenDBM

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What is it

OpenDBM is a software package that allows for calculation of digital biomarkers of health and functioning from video or audio of an individual’s behavior. It integrates existing tools for behavioral measurements such as facial activity, voice, speech, and movement into a single package for measurement of overall behavior.

More About OpenDBM

At a modular level, OpenDBM is a library that consists of the following components:

Component Description
Facial An OpenDBM module to get facial attributes
Movement An OpenDBM module to get movement attributes
Accoustic An OpenDBM module to get accoustic attributes
Audio An OpenDBM module to get audio attributes

Usually, OpenDBM is used for:

  • A digital biomaker extraction app
  • A helper tools to give insight of patient condition

Table of Contents

⭐️ Installation

Prerequisites

Install Dependencies

On Linux

sudo apt-get install libsndfile1
sudo apt-get install sox

On macOS

brew install sox

On Windows

none required

OpenDBM Installation

$ pip install opendbm 

⭐️ Usage

Basic Usage

Try your first OpenDBM program

from opendbm.facial import FacialActivity

model = FacialActivity()

To get the attribute like mean and std is as straighforward as .mean():

from opendbm.facial import FacialActivity

model = FacialActivity()

m.fit()
landmark = model.get_landmark()
landmark.mean()
landmark.std()

For more in-depth tutorials about OpenDBM, you can check out:

⭐️ More resources

⭐️ License

OpenDBM is published under the GNU AGPL 3.0 license.

⭐️ People

OpenDBM was developed by Anzar Abbas and Vijay Yadav, alongside Vidya Koesmahargyo and Isaac Galatzer-Levy, from within the Research and Development department at AiCure––a health tech startup in New York. It was made open source in October 2020. You can contact us at opendbm@aicure.com.

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