| Autor: |
Mohammed Kohili, Arbia Chahrazad Lamari, Fatima Zohra Kouddad, Ayoub Amiri |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 2nd International Conference on Mathematics and Information Technology (ICMIT). |
| DOI: |
10.1109/icmit47780.2020.9046980 |
| Popis: |
The Brain Computer Interface (BCI) has demonstrated and continues to demonstrate its strength in many applications through covering human needs. These needs are necessary in health field applications for people with disabilities such as health applications. For instance, It includes use a prosthesis similar to an amputee organ, and it is moved by the electrical signals from a person’s brain. or diagnose the thoughts of patients who are in a coma or semi-coma. On the other hand, it can be used in three-dimensional games, or moving orders like a soccer game. On this basis, and because of the importance of the Content Based Information Retrieval systems (CBIR), our attention in this study focuses on a suggestion of an alternative method to traditional research one used currently in the Internet. It consists in printing key words or inserting an image in the search engine for the Internet using BCI to index images by content based on a biological database of two parts of data (city and countryside images). These experiments can be developed to be generalized on all types or categories of images that have a basic link with the information to be searched for. Our work was based on SVM method in classification processes with the idea of classifying each brain signal separately. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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