An interactive object includes one or more sensors configured to generate sensor data in response to at least one of a movement of the interactive object or a touch input provided to the interactive object. The interactive object includes at least a first computing device communicatively coupled to the one or more sensors. The first computing device includes one or more non-transitory computer-readable media that store a first model head of a multi-headed machine-learned model that is configured for distribution across a plurality of computing devices including the first computing device. The multi-headed machine-learned model is configured for at least one of a gesture detection or a movement recognition associated with the interactive object. The first model head is configured to selectively generate at least one inference based at least in part on the sensor data and one or more inference criteria.
Distributed Machine-Learned Models for Inference Generation Using Wearable Devices