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This paper presents a Brain Computer Interface methodology for unspoken speech recognition based on Electroencephalography (EEG). Each phase within this approach is presented and discussed, followed by the noise elimination methodology and ends up by features extraction and data classification. The presented work consists of database construction with features vectors that will be classified into...
A brain computer interface is an artificial intelligence system that provides the brain with a way to communicate with the outside environment. This paper aims to provide guidelines for biomedical researchers by discussing each phase of the construction of a Brain Computer Interface. It explains invasive and noninvasive BCI. Then, it presents the most commons methods employed for designing a BCI and...
Falls are a major problem for elderly living independently. The World Health Organization reports that injuries due to falls are the third most common cause of chronic disability. We propose an automated monitoring system that identifies faces in a given area, collects data such as speed of movement, and triggers an alarm if these data suggest the person has fallen. Our system does not suffer the...
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