AiCure’s 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 measurement of behavioral characteristics such as facial activity, voice, and movement into a single package for measurement of overall behavior. OpenDBM is designed for ease of use, expanding the availability of such tools to the wider scientific community.
Supported OS Platforms
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:
|Facial||An OpenDBM module to get facial attributes|
|Movement||An OpenDBM module to get movement attributes|
|Acoustic||An OpenDBM module to get acoustic 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
- ⭐️ Usage
- ⭐️ More resources
- ⭐️ License
- ⭐️ People
Prerequisites (Install Dependencies)
With Conda Environment (recommended)
Make sure to install conda first at anaconda
conda install -c conda-forge cmake ffmpeg sox
#Make sure to run in Anaconda Prompt, or add conda to the path. conda install -c conda-forge ffmpeg sox dlib
Without Conda Environment
pip install opendbm
Model Download ( Facial and Movement Components)
Make sure you have installed docker and already login to Docker Hub.
If you haven't, Find the tutorial here
docker pull opendbmteam/dbm-openface
Try your first OpenDBM program
from opendbm import FacialActivity #make sure Docker is active to access the model model = FacialActivity() path = "sample.mp4" model.fit(path) landmark = model.get_landmark()
To get the attribute like mean and std is as straighforward as
landmark.mean() landmark.std() landmark.to_dataframe() # convert results as pandas dataframe
For more in-depth tutorials about OpenDBM, you can check out:
⭐️ More resources
OpenDBM is published under the GNU AGPL 3.0 license.
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 firstname.lastname@example.org.
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