k- NN based Object Recognition System using Brain Computer Interface
Autor: | Cauvery N K, Lingaraju G M, Anupama H S |
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Rok vydání: | 2015 |
Předmět: |
Quantitative Biology::Neurons and Cognition
medicine.diagnostic_test business.industry Computer science Cognitive neuroscience of visual object recognition Pattern recognition Electroencephalography Object (computer science) ComputingMethodologies_PATTERNRECOGNITION Human–computer interaction Principal component analysis Singular value decomposition medicine Artificial intelligence business Brain–computer interface |
Zdroj: | International Journal of Computer Applications. 120:35-38 |
ISSN: | 0975-8887 |
DOI: | 10.5120/21202-3878 |
Popis: | Brain Computer Interface is a device which provides the communication between the human brain and the computer. This paper provides an idea of object recognition system using Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). This is used to recognize the object by analyzing EEG signals in real time. K-Nearest Neighbors algorithm is implemented to classify the intended object. Multiple training sets and users are taken into account during the experiment and the efficiency of the algorithm is calculated. Index Terms Brain Computer Interface, Invasive and Non-Invasive, Electroencephalography (EEG), Emotive epoc, K-Nearest Neighbors, Object recognition |
Databáze: | OpenAIRE |
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