# maHidaka/ros_face

Repository: https://github.com/maHidaka/ros_face
Canonical: https://ross.abutalabs.com/products/ros_face
Language: C++
License: BSD-2-Clause
License Family: permissive
Last push: 2022-09-13T04:20:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2055, "days_push": 1450, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1355, forks 64 (observed 2026-08-28T04:04:29.221084+00:00)

## What it is
ROS-Face is a ROS-based system that controls human facial muscles via electrical stimulation, letting you drive facial expressions like a robot. It pairs a ROS1 (melodic) node with an Arduino Uno sketch uploaded via PlatformIO to actuate the hardware.

## Use cases
- control human facial expressions with ROS
- drive facial muscles like a robot using rosserial
- build a joystick-controlled face stimulation demo
- experiment with human-machine interfaces using Arduino and ROS
- reproduce the ROS-Face demo on ROS melodic

## When to choose
- you already run ROS1 (melodic) and want to control facial muscles through rosserial and Arduino
- you want a research/demo platform for electrically stimulating facial expressions
- you need an open BSD-licensed reference for ROS-to-Arduino muscle control

## When to avoid
- you need a production or medically approved system - this is an at-your-own-risk experimental project
- you use ROS2 or non-melodic ROS versions without willingness to adapt the code
- you are not comfortable building custom electronics from the provided schematic

## Facets
- artifact type: application
- maturity: maintenance
- function: robotics, embedded, sdk
- domain: robotics, embedded-systems, hardware
- platform: python, cpp, embedded
- tags: ros, rosserial, arduino, facial-muscles, human-machine-interface, platformio, linux

## Member repositories
- maHidaka/ros_face (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.221084+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:41:58.402991+00:00, confidence not recorded.
  - readme: https://github.com/maHidaka/ros_face (fetched 2026-08-28T04:04:29.221084+00:00, sha e35844d5d329)
- Data as of 2026-08-30T08:39:29.467469+00:00.