The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

multimolang: Multimodal Language Analysis Tools

multimolang is a package designed to support multimodal data analysis for linguistic research. It serves as the main repository for the MULTIFLOW project and provides tools to process, analyze, and derive insights from multimodal datasets, starting with gesture trajectories extracted from video data.

The first implemented tool, dfMaker, processes raw OpenPose data into structured dataframes, optimized for large-scale, multimodal data science workflows. Future versions of multimolang will include additional tools for prosody analysis and multimodal language integration.

## Installation

# Install from the local tar.gz file
install.packages("multimolang_0.1.1.tar.gz", repos = NULL, type = "source")

# Or install using devtools
devtools::install_github("daedalusLAB/multimolang")

## Functions

Currently, the main function in the package is dfMaker, which provides:

• Flexible Input Configuration: Accepts JSON files from OpenPose as input.
• Transformation Capabilities: Scales and normalizes body keypoints for gesture trajectory analysis.
• Big Data Optimization: Designed to handle large-scale multimodal datasets efficiently.

## Example Usage

### Process OpenPose Data

# Define paths to example data included with the package
input.folder <- system.file("extdata", "ex_videos", "o1", package = "multimolang")
output.file <- file.path(tempdir(), "processed_data.csv")
output.path <- tempdir()

# Run dfMaker with example data
df <- dfMaker(
input.folder = input.folder,
output.file = output.file,
output.path = output.path,
no_save = FALSE,
fast_scaling = TRUE,
transformation_coords = c(1, 1, 5, 5)
)

# View the resulting data
head(df)

## Development Status

Below is the current progress and pending tasks for multimolang:

Note: Future updates will incorporate tools for prosody and voice analysis, as well as co-speech gesture processing.

## About MULTIFLOW

The MULTIFLOW project investigates the interplay between gesture, prosody, and language to uncover multimodal signatures in communication. Learn more about our research and goals.

Publications in Preparation

• R functions for creating dataframes from OpenPose raw data.
  • Analyzing gesture trajectories from normalized body keypoint detection.
  • Building Massive Co-Speech Gesture Datasets for Specific Linguistic Patterns.
  • Gestural behavior is systematically attuned to language: Novel data analysis of co-speech gesture and its implications for multimodal interfaces.

  ---

  Contributing

  We welcome contributions to multimolang! For bug reports, feature requests, or collaboration inquiries, open an issue on GitHub.

## See Also

• dfMaker GitHub Repository

## License

The license for this package is pending. For further inquiries, contact the project maintainer.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.