Examining the relationship between brain activity and video game performance
summary
Hacked a Mindflex EEG with an Arduino to publish samples via MQTT, ingests Call of Duty API JSON into an Autonomous Database materialized view, and links 12,000 brain samples to 150+ matches with SQL and Micronaut. Stores raw JSON as CLOB, normalizes with a refresh-on-commit materialized view, and uses SQL macros to parameterize grouping. Analysis shows score and accuracy peak at 41–50% attention and decline with higher attention or higher meditation, so moderate attention correlates with best gameplay.
AI-written summary · about
chapters (5)
related talks
02h 02mUsing Open Game Data to Understand Game-Based Learning
16mYour Mind, Quantified
16mAge? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games
13mData-driven Sensory Intelligence
42m10x CouchDB Performance Gains for a AAA Game Launch
17mKnow Thyself: Introspective Personal Data Mining
40mReal-time Customer Engagement in Gaming Using Kafka and Flink
16mPlayer Characteristics and Video Game Preferences
