Abstract: A system comprises a computer including one or more processors and memory. The memory includes instructions such that the one or more processors are programmed to receive at least one of Red-Green-Blue (RGB) image data or infrared (IR) image data from one or more cameras communicatively connected to the one or more processors, where the RGB image data and the IR image data represents an environment including at least one individual disposed along a support surface. The one or more processors receive annotated depth image data that corresponds to the RGB image data and the IR image data. The one or more processors train a neural network with at least one of the RGB image data and the IR image data corresponding to the annotated depth image data, where the neural network is trained to predict when the individual is exiting the support surface.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

Abstract: A system and a method are described for preventing pressure ulcers in a medical care environment by monitoring adherence to a pressure ulcer prevention protocol. The method also includes identifying a first subset of pixels from the plurality of potential locations as representing a bed and/or a seating platform. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed and/or seating platform. The method also includes determining an orientation of the object with respect to the bed and/or seating platform, and determining changes in the orientation and/or position of the object over a period of time. In implementations, the method further includes issuing an electronic communication alert based upon the determined orientation and/or position of the object over the period of time.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a patient) proximal to the bed. The method also includes determining an orientation of the object within the bed. In implementations, the method further includes issuing an electronic communication notification directing a user to view a display monitor associated with the object based upon the orientation of the object. In some implementations, the method further includes breaking out a particular portion of the display associated with the object. In some implementations, the method also includes determining whether to issue future notifications based upon feedback to the notification.

Abstract: A system and a method are described for identifying (e.g., parsing images) images pertaining to an event. The method also includes identifying a first subset of pixels from the plurality of potential locations as representing a bed and/or a seating platform. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object proximal to the bed and/or seating platform. The method also includes determining an orientation of the object with respect to the bed and/or seating platform, and determining changes in the orientation and/or position of the object over a period of time. In implementations, the method further includes generating state data pertaining to an event and associating the state data with corresponding image frame data.

Abstract: A system is described that allows for the tracking of an exercise occurring within a physical environment. In one or more implementations, the system includes a depth sensing device configured to obtain depth values associated with a plurality of pixels. The depth values indicating distances from one or more physical objects in a physical environment to the depth sensing device. The system also includes a computing device in communication with the depth sensing device. The computing device includes a memory and a processor. The processor is configured to execute the one or more modules to cause the processor to: identify a point corresponding to at least one pixel representing a portion of at least one physical object within the physical environment based upon the pixel depth values; track the point through a plurality of image frames; and determine whether at least one repetition has occurred based upon the tracked point.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a plurality of potential locations within a field of view of a camera as representing a bed and/or a seating platform. The method also includes identifying a first subset of pixels from the plurality of potential locations as representing a bed and/or a seating platform. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed and/or seating platform. The method also includes determining an orientation of the object with respect to the bed and/or seating platform. In implementations, the method further includes issuing an electronic communication alert based upon the orientation of the object.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed. In implementations, the method further includes issuing an electronic communication alert based upon the orientation of the object, and determining whether to issue future alerts based upon feedback to the alert.

Abstract: A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

Abstract: A system is described that allows for the tracking of an exercise occurring within a physical environment. In one or more implementations, the system includes a depth sensing device configured to obtain depth values associated with a plurality of pixels. The depth values indicating distances from one or more physical objects in a physical environment to the depth sensing device. The system also includes a computing device in communication with the depth sensing device. The computing device includes a memory and a processor. The processor is configured to execute the one or more modules to cause the processor to: identify a point corresponding to at least one pixel representing a portion of at least one physical object within the physical environment based upon the pixel depth values; track the point through a plurality of image frames; and determine whether at least one repetition has occurred based upon the tracked point.