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Octopus Sensing

Welcome to Octopus Sensing’s documentation!

Octopus Sensing is a tool to help you run scientific experiments that involve recording data synchronously from multiple sources in human-computer interaction studies. You write steps of an experiment scenario, for example showing a stimulus and then a questionnaire. The tool takes care of the rest.

It can collect data from multiple devices such as OpenBCI EEG headset, Shimmer sensor (GSR and PPG), Video and Audio and so forth simultaneously. Data collection can be started and stopped synchronously across all devices. Collected data will be tagged with the timestamp of the start and stop of the experiment, the ID of the experiment, etc.

The aim is to make the scripting interface so simple that people with minimum or no software development skills can define experiment scenarios with no effort. Also, this tool can be used as the base structure for creating real-time data processing systems like systems with capabilities of recognizing emotions, stress, cognitive load, or analyzing human behaviors.

Main features

  • Controls data recording from multiple sources using a simple unified interface

  • Tags an event on collected data, such as the start of an experiment, and events during the experiment, etc.

  • Can show stimuli (images and videos) and questionnaires

  • Monitoring interface that visualizes collected data in real-time

  • Offline visualization of data from multiple sources simultaneously

Octopus Sensing Components

Quick Start

See Quick start to learn how to install Octopus Sensing.

Tutorial

See Tutorial to learn how to use Octopus Sensing.

API Reference

See API Reference for the complete documentation of all the public classes and methods available in Octopus Sensing.

Contribution Guideline

See Contribution Guideline to learn how to contribute to the Octopus Sensing.

Support

Please contact Nastaran (nsaffar@gmail.com) or Aidin (aidin@aidinhut.com) if you have any questions or seek support.

Citation:

Saffaryazdi, N., Gharibnavaz, A., & Billinghurst, M. (2022). Octopus Sensing: A Python library for human behavior studies. Journal of Open Source Software, 7(71), 4045.

Content

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