193 results about "Sleep position" patented technology

Disclosed is an anti-snoring pillow, including a pillow bottom plate, a sleeping posture sensor is fixedly connected to a lower surface of the pillow bottom plate, and a sleeping posture airbag and a main control box are fixedly connected to an upper surface of the pillow bottom plate, wherein a head position sensor is fixedly connected to an upper surface of the sleeping posture airbag, an anti-snoring airbag is fixedly connected to an upper surface of the head position sensor, and the main control box is in communication connection with an air pump box, the air pump box is connected to the sleeping posture airbag and the anti-snoring airbag through pipelines, and wherein the sleeping posture sensor and the head position sensor are in communication connection with the main control box, and a pillow supporting cotton is provided on the upper surface of the pillow bottom plate.

A mattress includes one or more sensors. The sensor(s) may be positioned on a sleep surface of the mattress; for example, at locations where an individual's thorax and / or legs would be positioned when the individual assumes a sleeping position on the sleep surface. The sensor(s) may be positioned adjacent to an edge of the mattress, on the sleep surface or on the edge. A processor may be associated with the sensor(s) of the mattress. The processor may process signals received from the sensor(s) to provide information about the mattress, an individual on the mattress, and / or an environment in which the mattress is located.

A bed assembly includes a frame having a base and a rail extending laterally along the base and coupled to the base, the rail dividing the base into a first base portion and a second base portion. A pair of platforms are arranged to support a pair of mattresses, with at least one platform being slidably coupled to the rail and configured to pivot between a sleeping position and a folded position. In the sleeping position, the pair of platforms are disposed horizontally and vertically above the first base portion, and in the folded position, the pair of platforms extends in a vertical direction relative to the base. The bed assembly also includes a cabinet slidably coupled to the frame and arranged to move laterally relative to the pair of platforms.

An adjustable reclining chair having zero wall clearance has a frame and an adjustable support platform with a plurality of articulated support sections pivotally mounted with respect to one another for relative angular adjustment. An actuator means for effecting co-ordinated movement of said support sections to reconfigure the chair between a seated position and a sleeping position in which the articulated supporting sections lie in a substantially horizontal plane (H). One of the articulated support sections is a seat support inclined relative to the horizontal plane when the chair is in the seated position and substantially in the horizontal plane when the chair is in the sleeping position.

A pet bed which comprises a plurality of layers within a housing, wherein the housing comprises a number of pockets and features designed for pet care and comfort, and is foldable from a sleeping position into a transporting position for ease of transport. The pet bed includes, for instance, an organizer for storing pet supplies and a medical ID card; a cover that can be unrolled over the top surface of the housing to serve as a blanket or sleeping bag and can also be rolled up and received within a pocket to form a support cushion or pillow; a mesh water bottle bag; and adjustable straps for securing the pet bed in the transporting position. The multi-feature pet bed can be used as an all-in-one travel pack to store and transport pet supplies.

The present invention relates to a smart mattress that primarily uses non-contact sensors to measure the user's physiological data. Through a non-contact sensing method, it is capable of detecting REM sleep stages, monitoring heart rhythm, and measuring vital information such as respiration, as well as recording and storing physiological data such as bed-leaving movements and sleeping position. By connecting to a mobile device or a computer via a control box, all the recorded information can be displayed as a screen output or uploaded to a cloud database for storage. This enables long-term measurement of the user's physiological data or real-time monitoring, thus contributing to targeted patient care.

The utility model discloses a pressure mattress suitable for a human body. The pressure mattress comprises a mattress frame and a density mattress, the density mattress is arranged in the mattress frame; the density mattress is composed of a contact layer, an isolation layer and a supporting layer; the contact layer is composed of a flexible fabric and a filler; the isolation layer is an elastic pressure sensing layer; the supporting layer is in a topological lattice shape; the topological lattice densities in the supporting layer are different. A lattice-shaped supporting structure is generated through parameterization design, more accurate supporting force is provided for the mattress compared with a traditional spring, meanwhile, the lattice porous special structure has better air permeability and moisture conductivity, changes of pressure distribution in the human body sleeping process are recorded, sleeping posture and sleeping quality data are periodically recorded and fed back to an app, and the app can be used for monitoring the sleeping posture and the sleeping quality. The comfortable layer of the mattress is composed of soybean bio-based filling and blended temperature sensing fibers, the whole material can be degraded and recycled, meanwhile, the color can be changed when the most suitable sleeping temperature is about 27 DEG C, and the sleeping temperature is visualized.

A seat (1) for a vehicle, the seat (1) comprising a frame (2) intended to be rigidly attached to a vehicle chassis, a first panel referred to as the seat panel (7) and a second referred to as the backrest panel (8), where the seat panel (7) and the backrest panel (8) are hinged together such that the seat (1) can take at least the following two positions: A sitting position; A sleeping position, the seat (1) further comprising at least a third panel referred to as the extension panel (18), hinged on one side relative to the backrest panel (8), such that: in the sitting position, the extension panel (18) is substantially folded back against the backrest panel (8); in the sleeping position, the extension panel (18) and backrest panel (8) are substantially in line with each other in the longitudinal direction.

A passenger seat including a sleep support system attached to a backrest of the seat and including first and second support arms pivotally attached to respective first and second sides of the backrest configured to deploy forward. A pillow assembly attaches to the deployed first and second support arms and a tubular cover is positioned surrounding at least a portion of the pillow assembly. In use, a seated passenger deploys the arms forward, attaches the covered pillow assembly, and leans forward against the pillow to assume a comfortable sleeping position.

The invention relates to the technical field of image recognition, in particular to a sleep post recognition method and system. The method comprises the following steps: collecting a sleep post video sample; extracting a sleep post picture sample from the sleep post video sample; labeling a label of each sleep post picture sample; determining a target detection area in the sleep post picture sample; initial feature extraction is carried out on the target detection area; determining a spatial attention feature of each initial feature based on a spatial attention mechanism; fusing the initial features and the spatial attention features to obtain new features; constructing a training sample by using the new features and the labels, and training by using the training sample to obtain a sleep post identification model; acquiring a to-be-detected video / picture in real time; whether the person in the to-be-detected video / picture is in the sleep state or not is judged by using the sleep recognition model. By adopting the method, the accuracy and accuracy of sleep recognition can be improved.

The invention relates to a sleeping posture recognition and self-adaptive pillow height adjustment system and method and a storage medium, and the sleeping posture recognition and self-adaptive pillow height adjustment system comprises a data collection module, a sleeping posture recognition module, a pillow height adjustment module and a user interaction module; the user interaction module is used for acquiring personalized prior data and historical sleep comfort score of a user; the data acquisition module is used for acquiring a pressure data set of the pressure sensor array in real time; the sleeping posture recognition module is used for constructing a plurality of groups of time domain data slices for the pressure data set according to a preset time window, inputting the time domain data slices into a time domain feature model to obtain a plurality of groups of low-dimensional pressure data feature parameters, and further recognizing an effective sleeping posture state; and the pillow height adjusting module is used for calculating and calibrating the pillow height based on the personalized prior data of the user, the effective sleeping posture state and the historical sleeping comfort score, and adjusting the pillow surface. According to the method and the device, the problems of high computing power consumption and difficulty in meeting precise and personalized sleep requirements of the user in related technologies are solved.

Systems, devices, and methods for facilitating diagnosis of sleep respiratory issues and / or delivering therapy for such issues are provided. According to one embodiment, a positional therapy device may be integrated with a PAP mask system to provide an effective and more sleep conducive method for positional sleep therapy for PAP system users. In some examples, positional therapy may be implemented through notifications delivered by a speaker associated with the positional therapy device to reduce symptoms of positional sleep respiratory issues. A positional sensor within the positional therapy device facilitates recognition regarding when a user (sleeper) is out of their programmed sleep position. The sleeper can then be notified via the speaker to adjust themselves to a more optimal sleep position for reduced snoring and / or sleep obstruction. The positional therapy device may alternatively or additionally capture user sleep data to facilitate diagnosis of a sleep respiratory issue by a medical professional.

The invention belongs to the technical field of smart home, and particularly relates to an intelligent sleep regulation and control system based on infrared ray and sound monitoring, which integrates infrared ray monitoring, sound recognition, dryness and humidity measurement, luminosity sensing, sound recording, temperature sensing and artificial intelligence analysis technologies. According to the method, the sleep stage, the sleep quality and the sleep posture of the user are accurately recognized, and the indoor environment parameters are automatically adjusted, so that the purposes of optimizing the sleep experience, improving the getting-up comfort level and achieving health early warning are achieved.

A back sleeper pillow for supporting a head of a sleeper in a back sleeping position includes a pillow body having a frontside and a backside opposite the frontside. Each of the frontside and the backside is divided by a center plane. A primary head support surface is included on the frontside of the pillow body. At least one bumper adjacent to an edge of the primary head support surface and rising forward from the primary head support surface is included and configured to support the head of the sleeper in a neutral position during sleep. At least one shoulder horn extending down from the at least one bumper is included and configured to extend over a shoulder of the sleeper when the head of the sleeper is positioned on the primary head support surface.

A sensor and method for sleep position detection including: a transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to person sleeping such that the receiver receives reflected electromagnetic waves; and a control station configured to analyze the transmitted and received electromagnetic waves to determine a position of the person sleeping. In some cases, the method may include: forming a radar cube of results; performing a fast fourier transform (FFT) on the radar cube; applying a constant false alarm rate (CFAR) processor to the FFT data; determining a capon gradient; forming a 5-dimensional feature space based on the capon gradient; and conducting an optimization of SVM.

This utility model relates to the field of home furnishing technology, specifically to a mattress support structure that adapts to the human body curve. It includes a support layer composed of several elastic pockets, each containing several ellipsoids. The arrangement of multiple elastic pockets, each containing several ellipsoids, forms a multi-unit, collaboratively responsive adaptive human body curve support system. When pressure is applied by the human body, the elastic pockets undergo localized deformation, and the internal ellipsoids can shift and slide within the elastic pockets, rearranging and redistributing the support force. This effectively adjusts the distribution of support force, achieving personalized adaptive support to different body shapes and sleeping positions, thus improving comfort. It effectively avoids common problems in traditional mattresses, such as failure to adapt to the human body curve, insufficient fit leading to localized pressure or unsupported areas.

The application provides a sleep position detection method, device and head support device. The sleep position detection method comprises the following steps: acquiring pressure sensing data generated by the head acting on the head support device, determining a contact contour of the head and the head support device according to the pressure sensing data; performing sound source positioning to determine a mouth position; projecting the contact contour and the mouth position to the same plane to obtain a head projection contour and a mouth projection point; and determining a sleep position according to the positional relationship between the head projection contour and the mouth projection point. Through the application, the accuracy of sleep position detection can be improved.

A system for determining a sleep position of a user during a sleep session, the system comprising: one or more sensors of a plurality of sensors configured to measure a signal indicative of motion of the user; and a controller configured to receive a signal indicative of user motion from the one or more sensors; determining a flipping event from a predetermined plurality of reference flipping events based on the received signal; and determining the sleeping posture of the user from a plurality of preset reference sleeping postures based on the flipping event.

The present invention provides a fully automatic turning over, sitting up and translational nursing bed, which relates to the field of medical device technology and solves the technical problem in the prior art that patients cannot freely adjust their sleeping positions when using nursing beds. The fully automatic turning over, sitting up and translational nursing bed includes a bed frame, a bed board and a drive device. The bed board is arranged on the bed frame, and the drive device is arranged on the bed frame and located below the bed board. The bed board is divided into at least two bed board partitions along the width direction of the bed board, and the two adjacent bed board partitions are connected by connecting rollers for rotation and can be folded up and down. The edge of the bed board is also connected to connecting rollers. The two adjacent connecting rollers form a group, and a conveyor belt is connected between each group of connecting rollers. The conveyor belts between the two adjacent groups of connecting rollers are arranged at intervals. The drive device can drive the bed board to fold and drive the connecting rollers to rotate to drive the conveyor belt to move horizontally. The present invention is used to provide a fully automatic turning over, sitting up and translational nursing bed that allows patients to adjust their sleeping positions at will.

The utility model relates to the technical field of massage sleep-aiding beds, and discloses a massage sleep-aiding bed frame which comprises a first supporting leg, a massage sleep-aiding mechanism is arranged at the top of the first supporting leg, a protection frame is arranged on the right side of the massage sleep-aiding mechanism, a limiting mechanism is arranged on the right side of the massage sleep-aiding mechanism, and the massage sleep-aiding mechanism comprises an extension frame. The extension frame is fixedly connected to the top of the first supporting leg, the interior of the extension frame is fixedly connected with a rotating rod, the periphery of the rotating rod is rotatably connected with a bed frame body, and the bottom of the bed frame body is fixedly connected with a second supporting leg. When the head is located on the extension frame, under the action of the servo motor and the rotating rod, the angle of the extension frame can be adjusted, a user is helped to find the most suitable sleeping posture, and therefore the comfort degree during sleeping is improved, and the smoothness of the respiratory tract can be improved by slightly lifting the head.

The present invention relates to a system and a method for allowing a user to connect to a controller much faster and more conveniently by performing initial connection between system components through BLE / Wi-Fi chipsets provided in a sensor unit and the controller. A smart mattress networking system according to an embodiment of the present invention comprises: a controller for adjusting a hardness of a smart mattress under control of a monitoring server, wherein the controller establishes a state ready for connection to a user terminal through Bluetooth communication using an internally provided BLE / Wi-Fi chipset, and performs initial connection to the user terminal by inputting an SSID / PW delivered from the user terminal; a user terminal having a monitoring application installed therein to record and report a sleep pattern through wireless communication with the monitoring server, wherein the user terminal identifies Wi-Fi information of a current space and delivers an SSID / PW to the controller through Bluetooth communication; a sensor unit for sensing (measuring) pressure (body pressure) during a sleep of a user located on the smart mattress and transmitting the sensed pressure to the monitoring server through the controller; and the monitoring server for analyzing a sleep posture on the basis of a sensing value of the sensor unit, determining a hardness suitable for the sleep posture, and transmitting the determined hardness to the controller.

The utility model relates to the field of spine correction, and discloses a scoliosis corrector for teenagers, which is used for adjusting and correcting sleeping postures at night and comprises a correction plate, the front side and the rear side of the left side of the bottom of the correction plate are fixedly connected with first supporting plates, and the front side and the rear side of the right side of the bottom of the correction plate are fixedly connected with second supporting plates. The front faces of the first supporting plate and the second supporting plate are both in threaded connection with connecting rods, and the front sides of the tops of the connecting rods are movably connected with movable plates. According to the waist correcting device for the teenager, through mutual cooperation of the structures of the screw rod, the adjusting block and the fixing rod, after the adjusting block is driven by the screw rod, the limiting plate drives the extrusion cylinder to conduct sleeping posture correcting work on the lateral bending positions of the lumbar vertebra and the thoracic vertebra of the teenager, and the purpose that the waist of the teenager is corrected when the teenager lies on the correcting plate to sleep is achieved; the lateral bending parts of the lumbar vertebrae and the thoracic vertebrae on the two sides of the teenager are also corrected, scoliosis caused by improper sleeping postures is prevented, and the teenager can be prevented from falling from the correction plate due to the change of the sleeping postures during sleeping.

1. The name of the design product: earplug (full sleep posture without pressure). 2. The use of the design product: the design product is used to plug into the ear to reduce noise. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

A system for determining a sleep posture of a user during a sleep session, the system comprising: one or more sensors from a plurality of sensors configured to measure a signal indicative of a motion of the user; and a controller configured to receive the signals from the one or more sensors indicative of a motion of the user; determine a turnover event from a predetermined plurality of reference turnover events based on the received signal; determine the sleep posture of the user from a predetermined plurality of reference sleep postures based on the turnover events.

According to various embodiments, a wearable electronic device may comprise: a communication module for communicating with an external electronic device; a sensor module; a processor including a processing circuit; and a memory for storing instructions. When the instructions are individually or collectively executed by the processor, the wearable electronic device can check, on the basis of sensing information measured using the sensor module, whether a user is sleeping, acquire, in response to the sleeping state, sleep-related information by using the sensor module, determine, on the basis of the acquired sleep-related information, whether a sleep posture photographing condition is satisfied, and transmit, in response to the sleep posture photographing condition being satisfied, a photographing signal to the external electronic device through the communication module. Other various embodiments are possible.

According to the model training method and the human body sleeping posture prediction method and device provided by the embodiment of the invention, the human body sleeping data of the target human body are collected through the radar, and the sleeping signal features of the target human body are extracted from the human body sleeping data of the target human body; and inputting the sleep signal features into a human body sleep posture prediction model to obtain a predicted sleep posture corresponding to the target human body. According to the technical scheme provided by the embodiment of the invention, the body movement of the target human body in the sleep period can be accurately tracked under multiple different positions and environment conditions, so that the sleep postures of the target human body can be accurately classified, and the method has a potential wide application prospect for improving sleep quality monitoring and health management.

The invention relates to the technical field of intelligent health care equipment, and provides an intelligent massage neck pillow based on deep learning and multi-modal sensor fusion. An existing pillow product lacks personalized adjustment in the aspect of postoperative rehabilitation support and is difficult to meet the requirements of different individuals. Through cooperative work of the intelligent unit, the sensor group and the power adjusting mechanism, personalized supporting, posture monitoring and dynamic adjustment are achieved. The embedded structure is adopted, and the height and angle are adjusted through the pushing and lifting arms, the pulley guide rail and the power unit, so that the pillow body is accurately matched with the cervical vertebra curve of a user. The intelligent unit is combined with a deep learning algorithm to extract user posture features and monitors cervical vertebra pressure, sleeping postures and physiological signals in real time through a sensor, and efficient adjustment is achieved. And the pillow bottom vibration massage module provides a massage function. The device can be used for cervical vertebra postoperative patients, the cervical vertebra supporting effect is improved, and postoperative recovery is facilitated.