Conference paper Open Access

A ROS Framework for Audio-Based Activity Recognition

Theodoros Giannakopoulos; Georgios Siantikos

BibTeX Export

@proceedings{theodoros_giannakopoulos_2016_221421,
  title        = {{A ROS Framework for Audio-Based Activity 
                   Recognition}},
  year         = 2016,
  publisher    = {Zenodo},
  month        = jul,
  doi          = {10.1145/2910674.2935858},
  url          = {https://doi.org/10.1145/2910674.2935858}
}
100
217
views
downloads
Views 100
Downloads 217
Data volume 93.7 MB
Unique views 98
Unique downloads 204
More info on how stats are collected.
Indexed in
Publication date:
July 1, 2016
DOI:
10.1145/2910674.2935858

Zenodo DOI Badge

DOI 

10.1145/2910674.2935858

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.1145/2910674.2935858.svg)](https://doi.org/10.1145/2910674.2935858)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.1145/2910674.2935858.svg
   :target: https://doi.org/10.1145/2910674.2935858

HTML 

<a href="https://doi.org/10.1145/2910674.2935858"><img src="https://zenodo.org/badge/DOI/10.1145/2910674.2935858.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.1145/2910674.2935858.svg

Target URL 

https://doi.org/10.1145/2910674.2935858

Keyword(s):
ROS audio analysis open-source audio segmentation audio classification
Meeting:
9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2016)
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Share

Cite as

Export