A method including receiving an input regarding a mattress assembly from an end user, the input including an indication of a desired feel and a plurality of current layers included in the mattress assembly, querying a database using the received input, receiving a list of layers and a layer arrangement from the database in response to the query, determining if the plurality of current layers matches the list of layers, identifying at least one of a specialty layer or a replacement layer when the plurality of current layers do not match the list of layers, determining a recommendation including the list of layers, an indication of a cost of the identified at least one of the specialty layer or the replacement layer when the plurality of current layers does not match the list of layers, and the layer arrangement, and sending the recommendation to the end user.

A shaped body having at least one spring and at least one foam section. The uppermost section of the foam section is attached to the uppermost section of the at least one spring, and the lowest section of the foam section is attached to the lowest section of the at least one spring. The shaped body may be a viscoelastic foam and may include a temperature-regulating device arranged in thermal contact with the foam section and a control device for the temperature-regulating device adapted to adjust the firmness of the foam section by alteration of temperature. The shaped body is used as a bed or mattress for promoting sleep in one application or as a cushion.

A bedding system uses a convolutional neural network (CNN)-based machine vision to makes adjustments for comfort and/or support. The machine vision process identities a body position by using a trained CNN that receives a pressure image and identifies a body position. The body position may be determined by classifying the pressure image into a predetermined body position classification. The machine vision process includes at least one trained CNN that determines joint locations. The machine vision tracks pressure accumulated at joints over time.

The present invention discloses a multifunctional motion simulation bed which has multiple segments and simulates preprogrammed motions. The segments are articulately connected to form a motion platform. in one embodiment, the segments are disposed above a base. Actuators are mounted on the base and pivotally coupled with the base and the segments. A microprocessor drives the actuators individually and causes the motion platform to simulate motions. In another embodiment, the segments are disposed above a frame which is arranged above a base. One segment is fixed on the frame. Some actuators are pivotally coupled with the frame and some of the segments. Other actuators are pivotally coupled with the frame and the base, A microprocessor drives the actuators individually and causes the frame and motion platform to simulate motions.

Processes for personalizing a mattress or pillow for a consumer generally includes analyzing data identifying one or more target areas based on surface temperature and/or pressure on a consumer's existing mattress and additively manufacturing a lattice structure to address the one or more target areas so to provide support, pressure point relief, and/or a desired temperature modulation.

An in-bed haptic device may include an array of actuation cells. Actuation cells of the array of actuation cells may be configured to actuate (e.g., expand, contract, or otherwise change shape) in a predetermined sequence to provide haptic outputs. The in-bed haptic device may be configured to be placed beneath a user during use, for example between a user and a mattress. The haptic outputs may be provided to help a user relax, to move and/or wake a user, to indicate outputs, alerts, or notifications at the in-bed haptic device or another electronic device, or the like.

A smart mattress, including a mattress body (1), and further including an airbag assembly (2) disposed on a supporting surface of the mattress body (1). The airbag assembly (2) includes multiple airbags respectively used to support multiple parts of the human body, the height of each of the airbags is adjustable. The present smart mattress has a sleep aid function; the air volumes of corresponding airbags in the airbag assembly (2) can be controlled according to a user's experience, so that the heights of the corresponding airbags are flexibly adjusted to achieve the purpose of floating support of different parts of the human body, and the supporting heights of parts of the mattress are alternately and gently changed to achieve the function of relaxing and massage before sleeping. The smart mattress further has a wake-up function and portability; the mattress body (1) can be folded for carrying with one.

A method including receiving an input regarding a mattress assembly from an end user, the input including an indication of a desired feel and a plurality of current layers included in the mattress assembly, querying a database using the received input, receiving a list of layers and a layer arrangement from the database in response to the query, determining if the plurality of current layers matches the list of layers, identifying at least one of a specialty layer or a replacement layer when the plurality of current layers do not match the list of layers, determining a recommendation including the list of layers, an indication of a cost of the identified at least one of the specialty layer or the replacement layer when the plurality of current layers does not match the list of layers, and the layer arrangement, and sending the recommendation to the end user.

Described herein are multifunctional smart beds and methods of operating thereof. Specifically, a multifunctional smart bed comprises a controller, configured to receive input from various sensors (e.g., load cells positioned in bed legs, thermometers, and/or microphones) and/or user. These inputs are analyzed and used to control various bed components to improve the sleep quality, to monitor users' health, score couple's relationship, and the like. For example, these inputs may be used to control firmness of different mattress portions, change orientations of head, torso, and/or leg sections, adjust the light, and the like. In some examples, the smart bed generates a report indicating one or more sleep duration, sleep depth profile, sleep scope, heart rate, breadth rate, environment conditions, couple's relationship, and the like. Furthermore, in some examples, a multifunctional smart bed is also configured to control external devices in the same environment, e.g., smart switches, smart thermostats.

A bedding device including: at least one adjusting unit able to adjust a height of the device; at least one human measurement module able to measure a three-dimensional surface morphology of a human and/or a quilt covering the human, obtain a three-dimensional point cloud of the human and/or a point cloud of the quilt, establish a three-dimensional model of the human and/or a three-dimensional model of the quilt, recognize each part of the human from the three-dimensional point cloud and/or the three-dimensional model; at least one sleep position determining module able to determine a sleep position of the human based on the spatial position and/or posture of each part of the human; and at least one form adjustment module able to control the at least one adjusting unit to adjust a surface form of the bedding device.