Bioinformatiс properties of sign language motion indicated by fractal complexity
1
Netherlands Institute for Advanced Studies, Wassenaar, Netherlands
2
Department of Speech, Language, and Hearing Sciences, and Linguistics Program, Purdue University, West Lafayette, IN, United States
- Published
- Accepted
- Subject Areas
- Computational Biology
- Keywords
- sign language, fractal complexity, biological motion
- Copyright
- © 2015 Malaia et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Bioinformatiс properties of sign language motion indicated by fractal complexity. PeerJ PrePrints 3:e1551v1 https://doi.org/10.7287/peerj.preprints.1551v1
Abstract
We make a first attempt at distinguishing information-carrying visual signal by comparing visual characteristics of American Sign Language and everyday human motion, to identify what clues might be available in one but not in the other. The comparison indicated significantly higher fractal complexity in sign language across tested frequency bands (0.01-15 Hz), as compared to everyday motion. A comparison of our results with the work also showing high fractal complexity in the speech signal allows us to suggest the underlying properties of linguistic signals which allow babies to 'tune to' a specific channel, or modality, during language acquisition.
Author Comment
This is a preprint submission to PeerJ.