GitHub - daedalusLAB/multimolang: Multimodal Language Analysis Tools (original) (raw)
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 CRAN
install.packages("multimolang")
Or install using devtools
devtools::install_github("daedalusLAB/multimolang")
For detailed installation instructions and usage examples, please refer to the package vignettes.
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:
| Element | Status |
|---|---|
| Package Name | Defined and unique in CRAN. |
| DESCRIPTION File | Complete with title, description, authors, maintainer, version, and dependencies. |
| Documentation | Complete for the dfMaker function, with examples. |
| NEWS File | Not included; optional for the first version. |
| Tests | Implemented to ensure proper functionality. |
| README | Included here. |
| Cross-Platform Compatibility | Tested on Linux and Windows operating systems. |
| Included Functions | Includes dfMaker; additional tools planned for multimodal analysis in future updates. |
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
Recent Changes
Version 0.1.1 (December 12, 2024)
- Updated file naming conventions to comply with CRAN requirements.
- Improved compatibility with CRAN by refining documentation and dependencies.
- Minor fixes to
dfMakerfor enhanced error handling and performance. - Added package vignettes for detailed usage examples.
For a complete list of changes, refer to the CHANGELOG in the repository.