Name
Abstract | ||
|---|---|---|
In this paper, we present \\textbf{THINK}, a practical general-purpose brain-computer communication platform that relies on the OpenBCI and OpenViBE hardware and software platforms, and allows for a simple three-alphabet vocabulary. Specifically, we consider the scenario where a subject is wearing a sensor array (an electrode cap), and consciously manipulating her thoughts to communicate wirelessly with an external computing entity (a smartphone) without the aid of any external stimuli. Using \\textbf{THINK}, we explore general aspects of brain computer communication that are application agnostic. In particular, we study the following questions: (i) what is the accuracy of the system? (ii) how fast can the subject switch thoughts corresponding to symbols; (iii) is there an impact on accuracy with learning time; and (iv) how does accuracy drop with decreasing number of sensors (electrodes)? Using purely experimental analysis, we present some results that provide preliminary answers for these questions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2799650.2799659 | HotWireless@MobiCom |
Field | DocType | Citations |
General purpose,Computer science,Sensor array,Software,Human–computer interaction,OpenVibe,Artificial intelligence,OpenBCI,Vocabulary,Motor imagery | Conference | 1 |
PageRank | References | Authors |
0.35 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohit Agarwal | 1 | 6 | 7.88 |
| Raghupathy Sivakumar | 2 | 2679 | 340.00 |