Temperature sensors are configured to sense a temperature for the sleeper and transmit temperature readings. A controller is configured to receive temperature readings; and send to a heating subsystem instructions to initiate a warming process that raises a distal temperature of the sleeper more than a proximal temperature of the sleeper. The heating subsystem that may include a heating element that, when engaged, can raise the distal temperature of the sleeper more than the proximal temperature of the sleeper.

Toilet seat comprising a device for detecting values, in particular health-related values of a user, wherein the device for detecting values comprises a multispectral camera for collecting multispectral data, system for detecting values comprising such a toilet seat, and method for detecting values of a user.

A system includes: a light source that emits pulsed light that illuminates a user's head portion; a photodetector that detects at least part of pulsed light returning from the head portion and that outputs one or more signals corresponding to an intensity of the at least part; electrical circuitry; and a memory that stores an emotion model indicating a relationship between the one or more signals and emotions. Based on a change in the one or more signals, the electrical circuitry selects an emotion by referring to the model. The one or more signals include a first signal corresponding to an intensity of first part of the reflection pulsed light and a second signal corresponding to an intensity of second part of the reflection pulsed light. The first part includes part before a falling period is started; and the second part includes at least part in the falling period.

The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.

A load cell apparatus for use with a bed includes a housing having a top portion and a bottom portion, and a load cell device held by the bottom portion of the housing. The load cell device is structured to generate a signal having a magnitude that is proportional to a first force being applied to the load cell device. The load cell apparatus also includes a button member held by the housing in a manner wherein the button member is structured to engage the load cell device and apply the first force to the load cell device in response to a second force being applied to the top portion of the housing. Also, various systems for monitoring parameters such as weight, sleep quality, fall risk, and/or pressure sore risk that may incorporate such a load cell apparatus.

During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.

A patient support system comprises a patient support apparatus for patients. The patient support apparatus also comprises an actuatable device that perform one or more predetermined functions on the patient support apparatus. A controller is provided to control the rate of operation of the actuatable devices based on a user input or a patient condition.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

A patient support apparatus, such as a bed, stretcher, cot, or the like, includes a frame, a support surface, a control, a controller, and a transceiver. The patient support apparatus employs one or more machine learning techniques to perform one or more of the following: automatically implement one or more user-preferred settings, automatically predict the occurrence of one or more events based on analyses of prior events, and/or automatically improve one or more algorithms based on analyses of additional sensor data. The machine learning techniques may be implemented onboard the patient support apparatus and/or may be implemented at a remote computer device (e.g. a server) that collates and analyzes data from multiple patient support apparatuses, and then sends the results of the analyses back to the patient support apparatuses.

A person support apparatus, such as a bed, stretcher, cot, recliner, or the like, includes an exit detection system having a plurality of force sensors that support the weight of an occupant positioned on a support surface and obstruction detection system having one or more obstruction sensors. The force sensors are part of an exit detection system that issues an alarm when the occupant exits, or is about to exit, the person support apparatus. The bed exit system can react to detection of an obstacle. The distribution of weight applied to the force sensors is used to determine if the occupant is about to exit the person support apparatus. Compensation is made to the exit detection system for changes in the weight distribution that are not caused by movement of the occupant. Such changes may be due to not only movement of the person support apparatus or components thereof, but obstacles encountered by the person support apparatus or components thereof.