System and method for discerning human input on a sensing device

A system, comprising:

• a processing device;
• an input structure comprising an input surface and a plurality of sensors below the input surface;
• and
• a memory operably connected to the processing device and storing processor-executable instructions, that when executed by the processing device, cause operations to be performed, the operations comprising:
• polling at least one of the plurality of sensors at a defined polling frequency;
• updating a baseline level for each of the at least one of the plurality of sensors until the baseline level converges during a quiescence period when the polling of the at least one of the plurality of sensors at the defined polling frequency is occurring;
• receiving a sensor signal generated by the at least one of the plurality of sensors in response to a physical input on the input surface;
• detecting an input event based on the physical input wherein detecting the input event based on the physical input comprises determining that a voltage level of the sensor signal from the at least one of the plurality of sensors is diverging from the updated baseline level from the quiescence period;
• determining one or more features associated with the sensor signal and the at least one of the plurality of sensors;
• determining a location of the physical input on the input surface by classifying the sensor signal using a machine learning algorithm based on the one or more features;
• and
• executing an action associated with the determined location on the input surface.