Abstract: A neurofeedback system includes an EEG apparatus, a presentation apparatus and a controller. The controller is configured to: (i) cause the presentation apparatus to display an overlaid image to the user that comprises a first image flickering at a first frequency and a second image flickering at a second frequency different than the first frequency, the first image being an affective distractor stimulus image and the second image being a task-relevant stimulus image, (ii) receive from the EEG apparatus a number of first steady-state visual evoked potential (SSVEP) signals generated in response the first image of the overlaid image and a number of second SSVEP signals generated in response the second image of the overlaid image, and (iii) calculate feedback indicative of how much attention of the was user allocated to the task-relevant stimulus image versus how much attention of the user was allocated to the affective distractor stimulus image.

Abstract: Provided herein are methods and systems for identifying a face of an infant in an image including providing a computer comprising a processor and a memory trained with a set of training images and programmed with a convolutional neural network (CNN) model for identifying a face of an infant in a test image suspected of comprising an infant's face, wherein each image of the set of training images includes a plurality of facial landmark annotations and at least one pose attribute annotation, providing a test image suspected of comprising an image of an infant's face, and processing the test image using the computer, whereby the infant's face is identified in the test image.

Abstract: The present technology provides devices and methods to determine the spectrum or other spectral characteristic, such as color, of a beam of light or other electromagnetic radiation. The beam of light or other electromagnetic radiation is modified without dispersion by broadband transmissive windows and then transmitted onto a detector. Signals from the detector are measured from a training set of radiation having known spectra and used to train the device, after which the device can estimate the spectrum or color of an unknown light or other electromagnetic radiation with exceptionally high accuracy.

Abstract: Devices and methods of the present technology utilize wavelength-dependent transmittance of 2D materials to identify the wavelength of an electromagnetic radiation. A wide range of 2D materials can be used, making possible the use of the technology over a large portion of the electromagnetic spectrum, from gamma rays to the far infrared. When combined with appropriate algorithms and artificial intelligence, the technology can identify the wavelength of one or more monochromatic sources, or can identify color through the use of a training set. When applied in an array format, the technology can provide color imaging or spectral imaging using different regions of the electromagnetic spectrum.

Abstract: Provided herein are systems and methods for estimating contact pressure of a human lying on a surface including one or more imaging devices having imaging sensors oriented toward the surface, a processor and memory, including a trained model for estimating human contact pressure trained with a dataset including a plurality of human lying poses including images generated from at least one of a plurality of imaging modalities including at least one of a red-green-blue modality, a long wavelength infrared modality, a depth modality, or a pressure map modality, wherein the processor can receive one or more images from the imaging devices of the human lying on the surface and a source of one or more physical parameters of the human to determine a pressure map of the human based on the one or more images and the one or more physical parameters.

Abstract: Methods and systems for providing a dataset of human in-bed poses include simultaneously gathered images of in-bed poses of humans from imaging modalities including red-green-blue (RGB) and one or more of long wavelength infrared (LWIR), depth imaging, and pressure mapping. The images are obtained under a lighting condition and a cover condition. The dataset can be used to train a model of estimating human in-bed poses and for methods of estimating human in-bed poses. Methods and systems of estimating three-dimensional human poses from two-dimensional input images are provided.

Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.

Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.

Abstract: The present invention relates generally to the prevention and treatment of pressure ulcers and a platform for monitoring, prevention and management of pressure ulcer using a pressure mapping system that records a patient's bed posture, tracks different limbs along with associated statistical pressure image data and produces a summary report for care givers after data analysis and risk assessment. The methodology allows care givers to utilize the stress data and schedule the repositioning of the patient more effectively. The invention relates to creation and using algorithms and analytics for monitoring, prevention and management of pressure ulcers which include time-stamped whole-body pressure distribution data collection and profiling; posture classification, limb detection and tracking; quality of turn and risk assessment; turning schedule and nursing staff utilization for pressure ulcer management; and patient status reporting system customized for caregivers.