Microelectronic System Design For Monitoring Of Online Game Brain Fatigue

Background: To play online games easily leads to college student's brain fatigue or even induces Internet user into Internet Addiction Disorder.Objective: (1) To review brain fatigue principles and their monitoring methods; (2) To grasp recognition feature named super-slow frequency wavelet entropy by PC-based signal sampling system for Counter-Strike players; (3) To verify this signature through building FPGA-based microelectronic system with serial ADC; (4) To compare with test results coming from the platforms of PC- and FPGA-based.Algorithm: Central nervous system or physical fatigue was measured by EEG, EMG and fMRI, with drawbacks like more probes plus puzzle devices. Complying with auricular-point mapping theory, the near infrared signals at otopoints Antitragus No.1 and No.2 are sampled and further extracted the feature named super-slow frequency wavelet entropy. The known evidences show that this feature has a clear physiological significance for brain chemistry expression.Integration: Starting from the viewpoint of home applications, this work will carry on PC-based system merits. Module FPGA is used to lead five blocks of signal sensor, band filter, serial ADC, data embedded RAM and LCD display. The corresponding optimization will aim at components occupation (area), power consumption analysis and debugging key-techs in condition of functional implementation (timing and delay). Sound effects will gain through comparing with two kinds of test results from PC- and FPGA-micro systems.Results: The advantages show our work with (1) more validitis of 67%; (2) LC savings of 90%; (3) state machine code style savings of 45%; (4) small prototype volume in (10*5*5 cm3). The shortcoming is at low-level for improved integration like ASIC.