Abstract: A haptic system can include a user device including one or more haptic actuators and one or more sensors. The haptic system can be configured to perform operations including controlling the haptic actuator(s) to produce a haptic output based on a haptic output profile associated with a desired action of a user of the haptic system; detecting, using the one or more sensors, one or more user response characteristics in response to the haptic output; determining, based at least in part on the one or more user response characteristics, data describing a user action of the user performed after the haptic actuator(s) produces the haptic output; comparing the data describing the user action with data indicative of the desired action to generate an effectiveness metric; and determining a subsequent haptic output profile for a subsequent haptic output based at least in part on the effectiveness metric.

Abstract: A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Abstract: A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Abstract: A system for tracking body movement can comprise a first markerless sensor, a second markerless sensor, a processor, and a memory. The first markerless sensor can be configured to generate a first set of data indicative of positions of at least a portion of a body over a period of time. The second markerless sensor can be configured to generate a second set of data indicative of positions of the at least a portion of the body over the period of time. The memory can comprise logical instructions that, when executed by the processor, cause the processor to generate a third set of data based on the first and second sets of data. The third set of data can be indicative of estimates of at least one of joint positions and joint angles of the at least a portion of the body over the period of time.