BraiNet: Pervasive Brain Monitoring Framework

Department of Computer Science and Engineering, Arizona State University

Faculty Advisor

Sandeep K.S. Gupta
Department of Computer Science and Engineering
Arizona State University

Research Faculty

Present Students



BraiNet is a network of individual Brain-Computer Interface (BCI) systems. BraiNet is a pervasive brain monitoring system to develop BCI apps in societal level.

We envision the following set of goals:

  • Pervasive Brain Monitoring
  • Recognizing Mental States On-the-Go
  • Providing On-line Feedback to the User

There are four main challenges:

  • Setup Procedure and Usability
  • Accurate Recognition of Mental States
  • Real-time Feedback to the User
  • Energy Efficiency on Mobile Platform

Brain-Computer Interface Systems:

Brain-Computer Interface (BCI) systems provide a direct connection between neural activies and computing devices.

BCI System Model

Signal Acquisition:

To enhance usability of our apps, we use commercially available sensors. These sensors are connected to mobile phone via Bluetooth.

Signal Processing:

To satisfy accuracy, real-timing, and energy efficiency of BCI apps, computational intensive signal processing is implemented in multi-tier architecture including fog and cloud servers.

BraiNet Infrastructure


Based on the BraiNet framework, we have developed following mobile apps:

  • SafeDrive: An Intelligent Driver Safety Application: According to mental states of drivers, appropriate warning message will be provided to avoid accidents
  • SafeDrive App

  • E-BIAS: A Pervasive EEG-Based Identification and Authentication System: Each person has unique brain signal patterns. These patterns can be considered as signatures for identification and authentication in security systems
  • EBIAS App

  • nMovie: BCI-based Interactive Movie Experience: According to mental state of the viewer, the movie scene may change
  • nMovie App

  • AyLA: An Intelligent Learning Assistant Based on Mental States: According to students attention level, the lecture materials may change [ongoing project
  • AyLA App


  • K. Sadeghi, A. Banerjee, and S. K. S. Gupta, Neuro Movie Theatre: A Real-Time Internet-of-People Based Mobile Application, The 16th ACM International Workshop on Mobile Computing Systems and Applications, Santa Fe, NM, 2015. [ PDF ]

  • M. Pore, K. Sadeghi, V. Chakati, A. Banerjee, and S. K. S. Gupta, Enabling Real-Time Collaborative Brain-Mobile Interactive Applications on Volunteer Mobile Devices, The 2nd ACM Workshop on Hot Topics in Wireless, Paris, France, 2015. [ PDF ]

  • J. Sohankar, K. Sadeghi, A. Banerjee, and S. K. S. Gupta, E-BIAS: A Pervasive EEG-Based Identification and Authentication System, The 11th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, Cancun, Mexico, 2015. [ PDF ]

  • K. Sadeghi, A. Banerjee, J. Sohankar, and S. K. S. Gupta, SafeDrive: An Autonomous Driver Safety Application in Aware Cities, The First International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems, AwareCities (PerCom 2016 Workshop), Sydney Australia, 14-18 March 2016. [ PDF ]

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Last Updated: 12th May 2008