Systems and methods for providing a waking mechanism

A brain wave monitoring apparatus, comprising

• headgear configured to be secured to a head of a user;
• a microprocessor coupled to the headgear;
• a plurality of sensors in communication with the microprocessor and coupled to the headgear, wherein the plurality of sensors are configured to detect brain waves emitted from a brain of the user and output signals indicative of the detected brain waves;
• and
• a stimulator coupled to the headgear;
• wherein the microprocessor is configured to:
• define a time interval and data size of data packets;
• read signals from an analog to digital converter and place the signals in the data packets;
• down-sample the signals;
• store samples of the signals in the microprocessor;
• pass the samples through a “for” loop that includes a convolution with filtering coefficients;
• normalize the samples;
• take the root mean square of the normalized samples to obtain a root mean square value;
• run the root mean square value through a packet-counter based recognition function wherein signal waves from 3 Hz to 8 Hz are counted to create a first filtering coefficient value and signal waves from greater than 8 Hz to less than 12 Hz are counted to create a second filtering coefficient value, wherein the sum of the first value and the second value comprise the packet-counter based recognition function value;
• compare the packet-counter based recognition function value to a threshold value;
• and
• determine whether the packet-counter based recognition function value exceeds the threshold value, such that in response to the microprocessor determining that the packet-counter based recognition function value exceeds the threshold value, the microprocessor outputs a stimulus signal to the stimulator causing the stimulator to provide a visual, auditory, or tactile stimulus to the user.

A brain wave monitoring apparatus, comprising:

• headgear comprising a plurality of brain wave sensors configured to detect analog brain waves;
• a stimulator;
• and
• a microprocessor configured to:
• read analog signals from the sensors;
• convert the analog signals to digital signals using an analog to digital converter;
• down-sample the digital signals based on a mean value to packets;
• store the packets into samples;
• place the samples in a logic loop which includes a convolution, wherein a first filtering coefficient value is assigned to signal waves in the range of between 3 Hz to 8 Hz and a second filtering coefficient value is assigned to signal waves in the range of between 8 Hz and 12 Hz;
• normalize the samples;
• take the root mean square of the normalization to create data packets;
• run the data packets through a packet-counter based recognition function wherein the samples having a first filtering coefficient value and the samples having a second filtering coefficient value are combined to constitute a packet-counter based recognition function value;
• and
• determine when to output a stimulus signal based on comparison of the packet-counter based recognition function value indicative of the signals to a threshold value such that when the microprocessor determines that the packet-counter based recognition function value exceeds the threshold value the microprocessor outputs a stimulus signal to the stimulator causing the stimulator to provide a visual, auditory, or tactile stimulus to the user.