Octopus Sensing: A Python library for human behavior studies

Python Submitted 15 December 2021Published 23 March 2022
Review

Editor: @ajstewartlang (all papers)
Reviewers: @ixjlyons (all reviews), @peircej (all reviews)

Authors

Nastaran Saffaryazdi (0000-0002-6082-9772), Aidin Gharibnavaz (0000-0001-6482-3944), Mark Billinghurst (0000-0003-4172-6759)

Citation

Saffaryazdi et al., (2022). Octopus Sensing: A Python library for human behavior studies. Journal of Open Source Software, 7(71), 4045, https://doi.org/10.21105/joss.04045

@article{Saffaryazdi2022, doi = {10.21105/joss.04045}, url = {https://doi.org/10.21105/joss.04045}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {71}, pages = {4045}, author = {Nastaran Saffaryazdi and Aidin Gharibnavaz and Mark Billinghurst}, title = {Octopus Sensing: A Python library for human behavior studies}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Javascript Human-Computer-Interaction(HCI) Human behavior research Physiological Signals Electroencephalography Multimodal Sensors Synchronous data acquisition Data visuaization Affective Computing Experimental design

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066