Go to DBLP homepageBrainwave for gender-based music recommendation system analysis
Abstract: Emotions are psychophysiological states of mind that present themselves as positive or negative responses to external and internal stimuli in humans. Brainwave data offers unbiased insights into an individual's immediate emotional and cognitive reactions to music, enabling highly customized recommendations. Song has long been a popular medium for conveying human emotions as an alternative to other forms of communication. A brainwave-based recommendation system can accurately detect and suggest music that facilitates relaxation, mitigates stress, and improves overall well-being. This article uses a brainwave instrument in conjunction with Android Studio to construct mobile phone software, and it employs Bluetooth transfer to electroencephalographic (EEG) on the phone screen to assess the emotional impacts of various types of music on the brain. Using a brainwave mind lamp, we can show the brain changing color in response to wave data. The objective of this study is to examine the specific genres of music that can induce relaxation in individuals of different genders (male and female). Additionally, the project seeks to assess the impact of music on emotional regulation and measure the user's emotional control using a brainwave mind lamp. Based on the results of our investigation, we can summarize the findings as follows: Listening to calm music, nervous music, and sad music can help male users feel more relaxed in their daily lives. Female listeners can achieve a higher level of relaxation by listening to genres such as classical, electronic, joyful, and nature-inspired music. Integrating brainwave analysis into a gender-based music recommendation system improves customization, precision, and emotional impact.
External IDs:dblp:journals/mta/DewiC25
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