Implementation av ett interface till Emotiv Epoc

• Main Author: Hansson, Nicklas
• Format: Others
• Language: Swedish
• Published: Umeå universitet, Institutionen för datavetenskap 2011
• Subjects: Computer science; Datavetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51401

The eld of Brain-computer interfaces (BCI) concerns linking together an external device with the brain of a human or an animal. By doing this the conventional use of a mouse or keyboard can be circumvented, which can greatly benefit people with different types of diseases that cause paralysis or other loss of motor control, such as Amyotrophic lateral sclerosis (ALS). A BCI can also be used for cognitive training of either healthy or mentally impaired subjects to increase cognitive capabilities. In this thesis an implementation of an interface is made against such a device, the Emotiv EPOC Headset. The result is meant to be a stable basis for further study using the device. An in-depth study of the history of EEG and its current use in clinical work and research in the topics of BCI as well as Human-computer interaction (HCI) is presented. It is also examined how a user's cognitive state can improve computer applications for cognitive training. Related work concerning dffierent BCI tools and other implementations of the Emotiv EPOC is studied as well as future work. The actual implementation is described together with possible limitations to the solution.