Bed system with edge-based and remote-computing based model deployment for determining user health metrics

Abstract

Disclosed are techniques for generating sleeper information based on user data collected at a bed system. A system can include an edge computing device, service-providing servers, and a cloud-based computing system. The servers can execute models for determining particular sleeper information based on sensor signals generated by bed sensors. A first subset of servers run in a cloud-based system and a second subset run at the edge computing device. The cloud-based computing system can receive the sensor signals, receive a request to execute a model having a relationship with a server, wrap the model with model data, transmit the wrapped model and data to the server for execution, receive model output once the wrapped model is executed, and generate at least one health metric about a user of the bed system based on correlating the model output with other model outputs or other data about the user.