Abstract:
A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.
Abstract:
What is disclosed is a system and method for determining respiration rate from a video of a subject. In one embodiment, a video is received comprising plurality of time-sequential image frames of a region of a subject's body. Features of pixels are extracted from that region from each image frame and vectors formed from these features. Each image frame has an associated feature vector. A N×M video matrix of the vectors of length N is constructed such that a total number of columns M in the video matrix correspond to a time duration over which the subject's respiration rate is to be determined. The video matrix is processed to obtain a matrix of eigenvectors where principal axes of variations due to motion associated with respiration are contained in a first few eigenvectors. One eigenvector is selected from the first few eigenvectors. A respiration rate is obtained from the selected eigenvector.
Abstract:
What is disclosed is a system and method for compensating for motion during processing of a video of a subject being monitored for physiological function assessment. In one embodiment, image frames are received. Successive batches of N video frames are processed to isolate pixels associated with a body region of the subject where a physiological signal is registered by the camera. The pixels are processed to obtain a time-series signal for each batch. A determination is made whether movement during video acquisition of this batch of image frames exceeds a threshold level. If so then a size N of the next batch of image frames is changed to: N=N+M1, where N+M1≦Nmax. Otherwise, a size N of a next batch is changed to: N=N−M2, where N−M2≧Nmin. Thereafter, processing repeats in a real-time continuous manner as the next batch of the N image frames is received. Various embodiments are disclosed.
Abstract:
A method for detecting settle-down time in a space includes acquiring a sequence of frames capturing a select space from a first camera. The method includes determining an initial time for computing a duration it takes for an associated occupant to settle into a seat in the select space. The method includes determining one or more candidate frames from the sequence of frames where one or both of a sitting behavior and seat occupancy is observed at the seat. The method includes determining a final frame and a final time associated with the final frame from the one or more candidate frames. The method includes computing the settle-down time using the initial and the final times.
Abstract:
What is disclosed is a system and method for assessing peripheral vascular disease from a thermal image captured using a thermal imaging system. In one embodiment the present method involves the following. First, a thermal image is received of a region of exposed skin of a peripheral body part of a subject being monitored for PVD. The thermal image was acquired by a thermal imaging system. Pixels in the thermal image each have a corresponding temperature value. The thermal image is analyzed to stratify the peripheral body part into a plurality of skin surface regions. A skin surface temperature for each respective skin surface region is identified based on pixels in the thermal image associated with those regions. The temperatures are then extracted such that a progression of temperatures can be ascertained. A method for forecasting the progression for future times is also disclosed.
Abstract:
A computer-based apparatus including a computer including a processor arranged to select a first video regarding a medical condition; create a second video including segments from the first video; transmit the second video for viewing by qualified medical personnel; receive input from the personnel; based on the input confirm accuracy of a first segment or modify a second segment or delete a third segment; create, from the second video, by at least including the first or second segment or deleting the third segment; transmit the third video for viewing by viewers; receive a respective response from each viewer identifying a respective fourth segment of the third video deemed relevant to the medical condition or enjoyable; create a fourth video including at least a portion of the respective fourth segments; and store the fourth video for inclusion in a video regarding the medical condition.
Abstract:
Disclosed herein is a single-pixel camera system and method for performing spot/area measurement of a localized area of interest identified in a scene and for performing spatial scene reconstruction. A switching module enables a single-pixel camera to alternate between a spot/area measurement mode and a spatial scene reconstruction mode. In the case where the operative mode is switched to spot measurement, a light modulation device is configured to modulate incoming light according to a clustered pattern that is specific to a localized area of interest intended to be measured by integrating across the pixels to generate an integral value. In the case where the operative mode is switched to spatial scene reconstruction, the light modulation device can be configured to modulate incoming light to display a spatial pattern corresponding to a set of predetermined basis functions.
Abstract:
A system and method of localizing vascular patterns by receiving frames from a video camera, identifying and tracking an object within the frames, determining temporal features associated with the object; and localizing vascular patterns from the frames based on the temporal features associated with the object.
Abstract:
A computer-based method for presenting customized medical information, including: storing, in at least one memory element of at least one computer, computer readable instructions; and executing, using at least one processor for the at least one computer, the computer readable instructions to: receive an input identifying a patient; access electronic medical-related records (EMRRs) for the patient; formulate, based on data in the EMRRs, a query requesting information/input from the patient; transmit the query for display on a first graphical user interface (GUI) device; receive, in response to the query, an input providing the information/input; generate a video including at least one video segment related to the information/input; and transmit the video for display on the first GUI device or on a second GUI device.