Human performance optimization and training methods and systems
Presented are systems and methods that analyze an individual's state based on selected criteria, and then adaptively provide stimuli to affect the individual's performance compared to established benchmarks and pre-set plans. The methods or systems can provide audio and/or tactile inputs to a human subject to obtain a specific performance state. A music or sound selection engine considers the sensory and environmental inputs and selects the appropriate music or auditory stimulus, with the intent to reach a desired state of flow. The methods and systems can employ multiple measurements of personal data that can correlate to the emotional state of a subject. By manipulating stimuli delivered to an individual, ultimate performance can be improved over various planning horizons.
1. A method for modifying performance of an activity by a human subject, the method performed by a system comprising at least one processor and at least one memory storing instructions which, when executed, cause the system to perform the method, the method comprising:
acquiring biomedical metric data pertinent to the human subject from a wearable device worn by the human subject, the wearable device including at least one sensor for acquiring biomedical metric data;
delivering the biomedical metric data to a stimulus selection engine of the at least one processor;
determining a flow state value of the human subject using the biomedical metric data;
comparing the determined flow state value to a desired flow state value using a proportional-integral-derivative (PID) control loop to determine a difference between the determined flow state value and the desired flow state value;
selecting an audio stimulus positively correlated to modify the biomedical metric data of the human subject, using the PID control loop, so as to decrease the difference between the determined flow state value and the desired flow state value, the audio stimulus selected from among plural stimuli with the stimulus selection engine of the at least one processor; and
outputting the selected audio stimulus to the human subject via the wearable device.
2. The method of claim 1 , wherein the selected audio stimulus is one or more sounds.
3. The method of claim 1 , wherein:
selecting the audio stimulus from among the plural stimuli with the stimulus selection engine comprises selecting an attribute of a musical composition;
adjusting the audio stimulus based on the comparison and the determination that the determined flow state value is different from the desired flow state value comprising adjusting an attribute of the musical composition; and
the attribute comprises at least one of genre, melody, harmony, rhythm, form, instrumentation, sonority, lyrics, vocal gender, tempo, timing signature, musical key, pitch, and frequency.
4. The method of claim 1 , further comprising acquiring context data pertinent to the human subject.
5. The method of claim 4 , wherein the context data and biomedical metric data include at least one of GPS location, velocity data, velocity rate of change information, real-time and/or forecast meteorological data, accelerometer data, gyroscope data, compass data, ambient light level, body temperature, altimeter data, humidity, blood oxygenation, pulse rate, heart rate variability, eye movement, jaw tension, head orientation, posture data, microgrimace or facial gesture data, auditory evoked potential data, P300 response data, EEG data, acoustic data, speech pattern recognition data, impedance, capnographic data, or ambient O 2 data.
6. The method of claim 4 , wherein determining a flow state value of the human subject further comprises determining the flow state value of the human subject using the context data.
7. A system comprising at least one processor and at least one memory storing instructions which, when executed, cause the system to perform a method, the method comprising:
acquiring biomedical metric data pertinent to a subject from a wearable device worn by the subject, the wearable device including at least one sensor for acquiring biomedical metric data;
delivering the biomedical metric data to a stimulus selection engine of the at least one processor;
determining a flow state value of the subject using the biomedical metric data;
comparing the determined flow state value to a desired flow state value using a proportional-integral-derivative (PID) control loop to determine a difference between the determined flow state value and the desired flow state value;
selecting an audio stimulus positively correlated to modify the biomedical metric data of the subject, using the PID control loops, so as to decrease the difference between the determined flow state value and the desired flow state value, the audio stimulus selected from among plural stimuli with the stimulus selection engine of the at least one processor; and
outputting the selected audio stimulus to the subject via the wearable device.
8. The system of claim 7 , wherein the audio stimulus is one or more sounds.
9. The system of claim 7 , wherein the audio stimulus comprises an attribute of a musical composition, the attribute comprising at least one of genre, melody, harmony, rhythm, form, instrumentation, sonority, lyrics, vocal gender, tempo, timing signature, musical key, pitch, and frequency.
10. The system of claim 7 , further acquiring context data pertinent to the subject.
11. The system of claim 10 , wherein the context data and biomedical metric data include at least one of GPS location, velocity data, velocity rate of change information, real-time and/or forecast meteorological data, accelerometer data, gyroscope data, compass data, ambient light level, body temperature, altimeter data, humidity, blood oxygenation, pulse rate, heart rate variability, eye movement, jaw tension, head orientation, posture data, microgrimace or facial gesture data, auditory evoked potential data, P300 response data, EEG data, acoustic data, speech pattern recognition data, impedance, capnographic data, or ambient O 2 data.
12. The system of claim 10 , wherein determining a flow state value of the subject further comprises determining the flow state value of the subject using the context data.