peack

Platform for Evaluation and Acquistion of Kinematics

https://github.com/shivak7/peack

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Platform for Evaluation and Acquistion of Kinematics

Basic Info
  • Host: GitHub
  • Owner: shivak7
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 7.11 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

PEACK logo

PEACK

Platform for Evaluation and Acquistion of Clinical Kinematics

Owner

  • Login: shivak7
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: PEACK
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Shivakeshavan
    family-names: Ratnadurai Giridharan
    email: shiva.keshavan@gmail.com
    affiliation: >-
      Burke Neurological Institute / Weill Cornell Medical
      College
    orcid: 'https://orcid.org/0000-0002-7915-9772'
repository-code: 'https://github.com/shivak7/PEACK'
abstract: >-
  PEACK (Platform for Extracting and Analyzing Clinical
  Kinematics) is an open framework built in C++ and Python
  for convenient access to kinematic data capture from 2D/3D
  cameras. It also has subsequent kinematics analysis
  pipelines for various clinical behavioral tasks such as
  the box and blocks test, cup stacking test, lower limb
  pendulum test, Assisting hand assessment for children with
  cerebral palsy, and more. Markerless kinematic data
  acquisition is made possible by modularly combining 2D/3D
  cameras with supported body trackers such as OpenPose,
  NuiTrack, CubeMOS, StereoLabs body tracking SDK and
  Google's Media pipe pose tracker.
keywords:
  - PEACK
  - Kinematics
  - Pose
  - Movement Analysis
  - Clinical
  - C++
  - Python
license: MIT

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