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All Projects → hcmlab → ssj

hcmlab / ssj

Licence: GPL-3.0 license
Social Signal Processing for Android

Programming Languages

java
68154 projects - #9 most used programming language

Labels

androidmachine-learningmobilesignal-processingclassificationsensorsbehavior-analysis

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Logo

Social Signal Processing for Android

SSJ is an extensible android framework for social signal processing in an out of lab envirnoment. It packages common signal processing tools in a flexible, mobile friendly Java library which can be easily integrated into Android Apps.

Features

  • Realtime signal processing using independent components as processing steps in a pipeline
  • Synchronized data streams
  • Support for most standard android sensors e.g. Camera, Microphone, Acceleration, GPS
  • Support for external sensors via bluetooth e.g. Microsoft Band 2, Myo, Angel Sensor, Empatica
  • Advanced signal processing functionality, including machine learning approaches (Neural Networks, SVM, NaiveBayes)
  • On device model training capabilities (batch and online learning)
  • I/O functionality: local storage, sockets, bluetooth
  • Energy efficient processing thanks to advanced sleep state management and support for discrete data propagation
  • Live data visualization (using GraphView library)
  • SSJ Creator: Android App for building, editing and running SSJ pipelines without writing a single line of code

Download

  • To use libssj in your own application, simply add the gradle dependency:
implementation 'com.github.hcmlab:libssj:0.7.6'

Documentation

About

The Social Signal Processing for Java/Android (SSJ) framework is being developed at the Lab for Human Centered Multimedia of the University of Augsburg. The authors of the framework are: Ionut Damian, Michael Dietz, Frank Gaibler, Daniel Langerenken, Simon Flutura, Vitalijs Krumins, Antonio Grieco.

SSJ has been inspired by the SSI (http://openssi.net) framework. SSJ is not a one-to-one port of SSI to Java, it is an approximation. Nevertheless, it borrows a lot of programming patterns from SSI and preserves the same vision for signal processing which makes SSI great. It than packages everything in a flexible, mobile friendly Java library which can be easily integrated into Android Apps.

DOI

If you use SSJ for a research project, please reference the following papers:

  • Ionut Damian, Michael Dietz, Elisabeth André, The SSJ Framework: Augmenting Social Interactions Using Mobile Signal Processing and Live Feedback, Frontiers in ICT, 2018
    paper | BibTex
  • Ionut Damian, Michael Dietz, Frank Gaibler, Elisabeth André, Social Signal Processing for Dummies, In Proceedings of International Conference on Multimodal Interaction (ICMI), ACM, 2016
    paper | BibTex | dl.acm.org

License

This library is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].