Brain signal classification for creative tasks
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Authors: Mukhopadhyay, Tirtha Prasad; Cabrera, Rafael Guzman; Pinales, Jose Ruiz; Perez-Careta, Eduardo; Thompson, Reynaldo; Perez-Crespo, Armando
Abstract
We tried to determine if emotive self-feedback from conscious assessment of artists' own works generates sufficient impetus for accomplishment of goals. Self-reports from participants of an 'experimental' group working independently and without external feedback on their work are examined. The performance of this group is compared to 'control' performers in tutored sessions (with external feedback). On the whole a two-fold analysis was carried out. First, verbal reports of the participants' feelings about their work in both experimental and control settings were analyzed. Second, a brainwave analysis of each participant was conducted while they were engaged in the same tasks so as to examine effects of concentration and energy output. The Hilbert-Huang transform was used to filter data frequency for brainwaves emitted at channels AF4, AF3, F6 and F7, all positioned along the pre-frontal cortex. Results of participants' brainwave behavior within frequency ranges of 14-16 Hz, as well as for higher ranges (above 60 Hz), do not show significant difference in the two groups. This indicates that brainwave activity is sustained in individuals who depend on self-feedback appraisals, at least within the domain of creativity investigated in this paper.
Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications
2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI)
Authors: Krishnan, Maya; Edison, Liya; Radhamani, Rakhi; Nizar, Nijin; Kumar, Dhanush; Nair, Manjusha; Nair, Bipin; Diwakar, Shyam
Abstract
Localization of neural activities from electroencephalography measurements and attributing a motor task to its neural signature is becoming a trend in neuroscience and brain computer interface research. For elucidating brain functions in healthy subjects and motor dysfunctions patients, a motor-related squeeze task, a simple daily task was employed in this study. Using low-cost electroencephalography devices in mapping human brain for understanding neural microcircuitry roles during a squeeze task as a biomarker for brain function was the objective. EEG data was recorded from eight healthy righthanded volunteers (4 female and 4 male) of different age group, performing squeeze task on a rubber ball applying graded forces. Using time and frequency domain analysis, we show frontal asymmetry attributed to activity from electrodes in AF3, AF4, F3, F4, F7 and F8 role-specific regions for identifying motor planning and motor execution characterized by predominant mu and beta oscillations.