Abstract
In this paper, we present an application that is a synergy of two research disciplines: visual object detection (and localization) and brain-computer interfacing. The goal is to construct an alternative way for a person to select real objects in the environment, without using speech, or any other form of muscular activity. Due to the latter, our application is potentially useful for patients that suffer from severe motor impairments since it would enable them to engage in a high-level interaction process with objects.
Original language | English |
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Title of host publication | 2011 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2011 |
DOIs | |
Publication status | Published - 5 Dec 2011 |
MoE publication type | A4 Conference publication |
Event | IEEE International Workshop on Machine Learning for Signal Processing - Beijing, China Duration: 18 Sept 2011 → 21 Sept 2011 Conference number: 21 |
Workshop
Workshop | IEEE International Workshop on Machine Learning for Signal Processing |
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Abbreviated title | MLSP |
Country/Territory | China |
City | Beijing |
Period | 18/09/2011 → 21/09/2011 |