Development of an EEG-Based Method for Detecting Flow State Using a Wearable Headband in a Game Environment.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference July 1, 2025 Matin Beiramvand, Reijo Koivula, Tarmo Lipping
Analyzing 29 EEG recordings from participants playing Tetris, a method using three entropy-based features (Slope, Distribution, and Spectral Entropy) extracted via Discrete Wavelet Transform and classified with a Random Forest model achieved 93% accuracy with random sampling and 82% with leave-one-subject-out cross-validation. The findings suggest this low-channel, consumer-device approach is promising for detecting the flow state in real-life settings.