Web Science and Digital Libraries Research Group

The 11th Augmented Human International Conference was held on May 27th, and 28th May online. The Augmented Human conference series focuses on scientific contributions on technology for well-being and experience by augmenting human capabilities. The conference series has served as a forum to present and exchange ideas for augmenting human capabilities for 10 years. The conference included keynote speeches, demo presentations, poster presentations, and research presentations. The conference was conducted under 4 main research tracks: Neurosciences, Biomechanics, Technology for healthcare, and smartphones and applications. 11th Augmented Human International Conference Happy to announce that @Huawei is the main sponsor of the 11th Augmented Human International Conference, which has just started online with Prof. Amine Choukou from the University of Manitoba. Joining via https://t.co/LNCEzs65MO @umanitoba #augmented #human #augmentation pic.twitter.com/LfNpilasrC — Augment

This summer 2019, ten students from B.N.M Institute of technolog y , fourteen students from  Acharya Institute of Technology , and one student from  Ramaiah Institute of Technology participated for the Summer Research Workshop organized by  Ajay Gupta  and the CS department at ODU. Over the past few years, this workshop has enabled participants to collaborate with various research groups and join ODU for graduate degrees. One of the main goals of this annual workshop is to  encourage the undergraduate students to actively engage in research activities. ⁦ @Gavindya2 ⁩ presenting about Eye Tracking in predicting ADHD. At 2120, E&CS Building pic.twitter.com/q5bJ9LuX4Q — Yasith Jayawardana (@yasithmilinda) July 12, 2019 I was invited to give a talk in one of the session on the topic of "Eye Tracking for Predicting ADHD".  The slides are available at:  https://www.slideshare.net/GavindyaJayawardena/eye-tracking-for-predicting-adhd . I was able to make it in

First of all, I would like to give credit to Matt Gray for going through the major hassle in figuring out the prerequisites and for the awesome documentation provided on how to Install and Use Lab Streaming Layer on Windows. In this blog, I will guide you how to install open source  Lab Stream Layer (LSL)  and stream data (eye tracking example using PupilLabs eye tracker) to  NeuroPype Academic edition . Though a basic version of LSL is available along with   NeuroPype, you will still need to complete following prerequisites before installing LSL. You can find installation instructions for LSL at  https://github.com/sccn/labstreaminglayer/blob/master/doc/BUILD.md . The intention of this blog is to provide an easier and more streamlined step-by-step guide for installing LSL and NeuroPype. LSL is low-level technology for exchange of time series between programs and computers. Figure:   LSL core components Source: ftp://sccn.ucsd.edu/pub/bcilab/lectures/Demo_1_The_Lab_Stream