Estimating driving performance based on EEG spectrum analysis
EURASIP Journal on Applied Signal Processing
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
Social navigation with the collective mobile mood monitoring system
Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
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This study extends our previous work on mobile & wireless EEG acquisition to a truly wearable and wireless human-machine interface, NCTU Brain-Computer-Interface-headband (BCI-headband), featuring: (1) dry Micro-Electro-Mechanical System (MEMS) EEG electrodes with 400 ganged contacts for acquiring signals from non-hairy sites without use of gel or skin preparation; (2) a miniature data acquisition circuitry; (3) wireless telemetry; and (4) online signal processing on a commercially available cell phone or a lightweight, wearable digital signal processing module. The applicability of the NCTU BCI-headband to EEG monitoring in real-world environments was demonstrated in a sample study: cognitive-state monitoring and management of participants performing normal tasks.