Abstract: In one example, this disclosure describes a method including receiving, at a central controller of an air mattress system, a plurality of air pressure value, determining a plurality of average values using the plurality of the received air pressure values, calculating a difference value between a first one of the plurality of average values and a second one of the plurality of average values, comparing the difference value to a threshold value, determining, based on the comparison, whether a user of the air mattress system moved.

Abstract: A bed has a mattress. A sensor system is configured to sense at least one physical phenomenon through a sleep session. A controller may include at least one processor and memory, the controller configured to receive, through the sleep session, the sensor data; select, from a plurality of optional algorithms, a selected algorithm based on at least one of the sensor data, user input, and checking a clock, where the optional algorithms include (i) a state-based algorithm and (ii) a schedule-based algorithm; update, through the sleep session, using the selected algorithm, a current sleep state of the sleeper; track the sleep session based on the update of the current sleep state of the sleeper through the sleep session; update, through the sleep session, using the tracking of the sleep session, a target environmental-parameter; and send, through the sleep session, automation instructions to an environmental controller.

Abstract: A housing defines a housing interior. An air pump is within the housing interior. A first set of dampers supports the air pump within the housing. The first set of dampers at least partially isolates vibration of the air pump from the housing. A second set of dampers is configured to at least partially isolate vibration of the air pump from the housing. The second set of dampers arranged in series with the first set of dampers.

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.