System and method for determining user-specific estimation weights for synthesizing sensor readings

A system for determining user-specific weights usable to synthesize sensor data at void locations of a sensor array, the system comprising:

• the sensor array comprising a plurality of sensors arranged in a first predetermined pattern, with each sensor of the plurality of sensors arranged at a respective location on a carrier device;
• and
• one or more processors communicatively coupled to the plurality of sensors, wherein the one or more processors is configured to:
• obtain a corresponding plurality of measured sensor readings from the plurality of sensors in the sensor array, wherein the plurality of measured sensor readings includes a plurality of measured sensor sets, and each measured sensor set is collected while a user performs a corresponding predefined action, the plurality of measured sensor sets being obtained during a single data collection session for the user such that a bodyweight of the user remains consistent across the plurality of measured sensor sets;
• determine a plurality of initial estimation weights for the void locations of the sensor array, wherein the void locations of the sensor array correspond to locations of the sensor array between discrete sensors or outside a set of the discrete sensors;
• determine a training sensor set for each measured sensor set by:
• estimating a plurality of synthesized sensor readings for a corresponding plurality of synthesized sensors based on the plurality of measured sensor readings from that measured sensor set and the plurality of initial estimation weights, the plurality of synthesized sensors arranged in a second predetermined pattern, wherein the second predetermined pattern maps each of the plurality of synthesized sensors to the respective void locations of the sensor array;
• and
• determining the training sensor set to include the measured sensor readings from that measured sensor set and the corresponding plurality of synthesized sensor readings;
• determine the user-specific weights by:
• determining a plurality of aggregate force values each based on a corresponding training sensor set;
• modifying the plurality of initial estimation weights based on the plurality of aggregate force values;
• and
• output the user-specific weights;
• wherein determining the plurality of aggregate force values comprises, for each corresponding training sensor set, generating, from that training sensor set, a force grid that represents forces at locations of the sensor array including the void locations by combining the measured sensor readings and the synthesized sensor readings, and calculating each aggregate force value as a total force magnitude of the force grid, and wherein modifying the plurality of initial estimation weights comprises adjusting the plurality of initial estimation weights to reduce a difference between the total force magnitude of a given aggregate force value and a mean total force magnitude determined as a mean of the total force magnitudes of the plurality of aggregate force values obtained during the single data collection session.