Abstract:
A method for evaluation of one or more remote workers is disclosed. The method includes sending a set of tasks. The set of tasks includes a first subset of tasks and a second subset of tasks. The first subset of tasks is generated with a set of predetermined responses. The method further includes receiving a first subset of responses corresponding to the first subset of tasks from the one or more remote workers. The first subset of responses is then compared with the set of predetermined responses, and the one or more remote workers are analyzed based on the comparison.
Abstract:
Disclosed is a hybrid personal training method and system according to an exemplary embodiment of the system, a personal trainer or physical therapist works remotely or locally with clients in conjunction with an automated self-learning/self-assessing system for supervising the progress of the clients in the absence of the trainer.
Abstract:
Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.
Abstract:
Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).
Abstract:
A method, a system, and a computer program product for processing a plurality of electronic documents are provided. The method includes marking at least one area in an electronic document selected from the plurality of electronic documents. The marked at least one area is then matched with corresponding area in the remaining electronic documents of the plurality of electronic documents. A score is computed for each of the remaining electronic documents of the plurality of electronic documents based on the matching. The plurality of electronic documents is then grouped into one or more groups based on the score.
Abstract:
Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.
Abstract:
A method, system, and processor-readable medium for non-invasive visual compensation for a person suffering from central vision impairment. Digital images of a target field of view can he obtained and processed to generate processed images thereof, wherein central regions of the digital images that normally would reach an impaired portion of a retina of the person are moved to other regions of the target field of view. The processed images can be presented to the person such that the central regions are now directed at an unimpaired peripheral portion of the retina of the person.
Abstract:
This disclosure provides an augmented Virtual Trainer (VT) method and system. According to an exemplary system, a video based physiological metric system is integrated with a VT system to provide health and/or safety related data associated with a user of the VT system. According to an exemplary embodiment, the disclosed augmented VT system modifies an exercise routine based on the physiological metrics and/or provides audio signals to the user.
Abstract:
A video-based teaching aid system and method. Video images are recorded of at least some of a plurality of people in a classroom setting by use of a video camera arrangement. Expressions of the people in the video images are identified by use of an expression recognition module configured to receive the video images from the video camera arrangement. The identified expressions of the people in the video images are correlated with at least one of an event or an outcome of an event occurring in a classroom setting by use of a correlation module. The results of the correlating are outputted by an output device.
Abstract:
This disclosure provides an augmented Virtual Trainer (VT) method and system. According to an exemplary system, a video based physiological metric system is integrated with a VT system to provide health and/or safety related data associated with a user of the VT system. According to an exemplary embodiment, the disclosed augmented VT system modifies an exercise routine based on the physiological metrics and/or provides audio signals to the user.