@techreport{oai:ipsj.ixsq.nii.ac.jp:00232621,
 author = {Salman, Al Maghribi Suwandi and Ayumi, Ohnishi and Tsutomu, Terada and Masahiko, Tsukamoto and Salman, Al Maghribi Suwandi and Ayumi, Ohnishi and Tsutomu, Terada and Masahiko, Tsukamoto},
 issue = {17},
 month = {Feb},
 note = {Brain Computer Interface (BCI) has become one of the most important communication mediums as it provides direct connection to the brain. This medium is extremely useful for disabled person with locked-in syndrome such as Amyotrophic Lateral Sclerosis (ALS). It also holds a major potential towards direct communication without the need for typing or voice command. One of the most effective BCI methods is by utilizing Steady State Visual Evoked Potential (SSVEP) where a unique condition of brain signal could be clearly recognized. However, a new modality of the method is necessary to improve the performance of the method due to its relatively slow response time to approach normal communication. This study aimed to examine how color and shape impact the performance of Brain-Computer Interface (BCI) through Steady State Visual Stimulus Evoked Potential (SSVEP). The research involved recording EEG signals as participants observed visual stimuli displayed on a monitor. The stimuli comprised flashing lights with variations in frequency, color, and shape. The color variation generally improves the SSVEP-based BCI performance with the highest accuracy of 90% and Information Transfer Rate (ITR) of 23.1 bits/minute., Brain Computer Interface (BCI) has become one of the most important communication mediums as it provides direct connection to the brain. This medium is extremely useful for disabled person with locked-in syndrome such as Amyotrophic Lateral Sclerosis (ALS). It also holds a major potential towards direct communication without the need for typing or voice command. One of the most effective BCI methods is by utilizing Steady State Visual Evoked Potential (SSVEP) where a unique condition of brain signal could be clearly recognized. However, a new modality of the method is necessary to improve the performance of the method due to its relatively slow response time to approach normal communication. This study aimed to examine how color and shape impact the performance of Brain-Computer Interface (BCI) through Steady State Visual Stimulus Evoked Potential (SSVEP). The research involved recording EEG signals as participants observed visual stimuli displayed on a monitor. The stimuli comprised flashing lights with variations in frequency, color, and shape. The color variation generally improves the SSVEP-based BCI performance with the highest accuracy of 90% and Information Transfer Rate (ITR) of 23.1 bits/minute.},
 title = {Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target},
 year = {2024}
}