facs

An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)

openFACS : an open source FACS-based 3D face animation system

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

FACSHuman plugin for MakeHuman project

Label elements within user drawn gates

A simple python plotting package for density and scatter plotting.

A real-time, browser-based 3D facial tracking engine. Translates webcam feeds into precise FACS data and APFS physics using MediaPipe and React Three Fiber.

vngFCM is a package designed to analyse fluocytometry data of small bacterial cells.

Code and files relevant for my bachelor's thesis on "Automatic Facial Emotion Recognition through Information Fusion"

Comparative study of 7 CNN architectures for facial expression recognition using generic vs. Action Unit (FACS)-aligned facial-landmark regions — shared vs. landmark-specific backbones, feature-vector vs. feature-map fusion, and 3D convolution, evaluated on RAF-DB and CK+. IEEE CIS Kolkata internship project.

Scripts to control CytExpert for the CytoFLEX FACS via Windows GUI automation.

Analysis code for Robust fluorescence-activated microglia enrichment from human post-mortem brain (Gocmanac, Dash, Nagaeva & Skene; UK Dementia Research Institute, Imperial College London).

Model of somatic facial motor space

Hierarchical CV/ML pipeline for facial expression recognition inspired by FACS-based coding. Integrates relevance filtering and calibrated classification with a data-centric focus on training rigor, evaluation, and deployment-ready inference in real-world conditions.

Batch video cutter for FACS and behavioral research videos using Excel/CSV timecodes. Built with Python.

Machine Learning model for detecting bluffing in Poker

Real-time, in-browser facial expression reader with calibrated confidence, literature-grounded cognitive states, and FACS-grounded AI explanations.

An open dataset and schema of 99 human gestures across 21 categories, annotated with research-backed metadata for CV, AI and HCI — physical form, communicative intent, emotional dimensions, taxonomy, and cultural context. Includes pipelines to machine-verify the annotations and generate synthetic training data.

Flume — a fast, private, browser-based flow cytometry viewer. 100% client-side.

FACS-based facial animation with full-body anatomy visualization.