Investigating the effect of individuality factors in measuring aggression induced by human brain
Document Type
Conference Item
Publication Date
1-1-2022
Abstract
Aggression is a behaviour of human that may cause physical or emotional harm to others. Several factors that cause aggressive behaviour such as physical health, mental health and socioeconomic. Many previous researchers reported that aggression could be measured through either questionnaire or the brain signals. This paper proposes the experimental studies to collect the brain signal of the human subject for investigating the effect of individuality in aggression. Ten subjects are selected to perform the aggression activities. The experimental protocol for inducing aggression is proposed. In general, there are four tasks which is collecting brain data in relaxing state before and after the experiments, and data collection while playing game in muted and maximum volume levels. In the experiments, the subject are required to play a popular non-violence smart phone game named “Subway Surfers” and at the same time the EEG signals are recorded from the subject’s brain. In the signal pre-processing stage, a Butterworth filter is used to remove the noises contain in the signals. A windowing technique is employed for extracting significant features. A Pearson correlation technique is used to reduce and remain the less and most significant features. In the methodologies, the aggressiveness level A, is defined to investigate the effect of individuality in inducing the aggression signals. The proposed experimental protocol and signal processing techniques are seen able to generate level of aggression. © The 2022 International Conference on Artificial Life and Robotics (ICAROB2022).
Keywords
Aggression, Aggression level, Aggression measure, EEG
Divisions
sch_ecs
Funders
Ministry of Higher Education, Malaysia
Publication Title
Proceedings of International Conference on Artificial Life and Robotics
Publisher
ALife Robotics Corporation Ltd
Event Title
International Conference on Artificial Life and Robotics, ICAROB 2022
Event Location
Virtual, Online
Event Dates
20-23 January 2022
Event Type
conference