Pressure sensor integration into wearable device

A computer-implemented method, comprising:

• receiving biometric data from a skin sensor of a wearable device;
• receiving a set of fit data from a plurality of fit sensors of the wearable device, the plurality of fit sensors being spaced apart from each other and from the skin sensor on the wearable device, the set of fit data being associated temporally with the biometric data, the set of fit data being indicative of a contact force applied at each of the plurality of fit sensors;
• generating a fit signature using at least one of curve fitting techniques, finite element analysis, a predetermined relationship, or a look-up function on the set of fit data, the fit signature including an estimated contact force applied at the skin sensor, the fit signature being indicative of a fit of the wearable device on a user;
• comparing the fit signature to a predetermined range;
• presenting, when the fit signature is outside the predetermined range, a notification to the user via a display of the wearable device, the notification prompting the user to adjust a position of the wearable device;
• designating, when the fit signature is outside the predetermined range, the biometric data as a sub-optimal signal;
• and
• determining, when the fit signature is within the predetermined range, a biometric of the user using the biometric data.

A physiology measurement device, comprising:

• a housing;
• a skin sensor coupled to the housing, the skin sensor being configured to generate biometric data associated with a user when positioned adjacent skin of the user;
• a plurality of fit sensors coupled to the housing, the plurality of fit sensors being spaced apart from each other and from the skin sensor on the housing, each respective fit sensor of the plurality of fit sensors being configured to generate fit data of a contact force applied at the respective fit sensor of the plurality of fit sensors;
• a processor;
• and
• a memory device including instructions that, when executed by the processor, cause the memory device to:
• receive the biometric data from the skin sensor, the biometric data associated with a time period;
• receive a set of fit data from the plurality of fit sensors, the set of fit data associated with the time period;
• generate a fit signature using at least one of curve fitting techniques, finite element analysis, or a look-up function on the set of fit data, the fit signature being indicative of an estimated contact force applied at the skin sensor, the fit signature being indicative of a fit of the physiology measurement device on the user;
• compare the fit signature to a predetermined range;
• present, when the fit signature is outside the predetermined range, a notification to the user;
• and
• designate, when the fit signature is outside the predetermined range, the biometric data as a sub-optimal signal.