Our garment has three modes: automatic, pre-heating, and app-control. Automatic mode uses a combination of external temperature, internal temperature and motion to determine the ideal power output. An initial trained function based on user testing gives a thermal response profile based primarily on external temperature, and piece wise linear optimization model controls how high and how low of a temperature maximum and zero power should be applied which based on user feedback can be modulated. A special function analyzes acceleration to detect if the garment is being picked up and worn to initiate pre-heating.
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