Electrical Engineering and Systems Science > Signal Processing
arXiv:2301.00948 (eess)
[Submitted on 3 Jan 2023 (v1), last revised 26 Apr 2023 (this version, v3)]
Title:Understanding EEG signals for subject-wise Definition of Armoni Activities
View a PDF of the paper titled Understanding EEG signals for subject-wise Definition of Armoni Activities, by Kislay Raj and 3 other authors
View PDFAbstract:In a growing world of technology, psychological disorders became a challenge to be solved. The methods used for cognitive stimulation are very conventional and based on one-way communication, which only relies on the material or method used for training of an individual. It doesn't use any kind of feedback from the individual to analyze the progress of the training process. We have proposed a closed-loop methodology to improve the cognitive state of a person with ID (Intellectual disability). We have used a platform named 'Armoni', for providing training to the intellectually disabled individuals. The learning is performed in a closed-loop by using feedback in the form of change in affective state. For feedback to the Armoni, an EEG (Electroencephalograph) headband is used. All the changes in EEG are observed and classified against the change in the mean and standard deviation value of all frequency bands of signal. This comparison is being helpful in defining every activity with respect to change in brain signals. In this paper, we have discussed the process of treatment of EEG signal and its definition against the different activities of Armoni. We have tested it on 6 different systems with different age groups and cognitive levels.
| Comments: | Submitted to SN Computer Science journal |
| Subjects: | Signal Processing (eess.SP); Human-Computer Interaction (cs.HC); Neurons and Cognition (q-bio.NC) |
| Cite as: | arXiv:2301.00948 [eess.SP] |
| (orarXiv:2301.00948v3 [eess.SP] for this version) | |
| https://doi.org/10.48550/arXiv.2301.00948 arXiv-issued DOI via DataCite |
Submission history
From: Teerath Kumar [view email][v1] Tue, 3 Jan 2023 05:02:20 UTC (598 KB)
[v2] Fri, 10 Feb 2023 12:47:26 UTC (599 KB)
[v3] Wed, 26 Apr 2023 22:00:13 UTC (599 KB)
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View a PDF of the paper titled Understanding EEG signals for subject-wise Definition of Armoni Activities, by Kislay Raj and 3 other authors
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