Systems and methods for creating a neural network to provide personalized recommendations using activity monitoring devices with biometric sensors

Abstract

Systems and methods are provided for creating a neural network to provide personal recommendations. One such system include a wearable device having a bio sensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the bio sensor and the motion sensor, and a transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate biometric data when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to monitor movement to generate physical activity data, monitor a duration and quality of sleep to generate sleep data, and gather biometric data to determine a fatigue score. Further, the instructions are executed to create a personalized recommendation based on the relationship of the physical activity data, sleep data, and the fatigue score.