Abstract: An anonymized biometric representation of a target individual is used in a computer based security system. A detailed input biometric signal associated with a target individual is obtained. A weakened biometric representation of the detailed biometric signal is constructed such that the weakened biometric representation is designed to identify a plurality of individuals including the target individual. The target individual is enrolled in a data store associated with the computer based security system wherein the weakened biometric representation is included in a record for the target individual. In another aspect of the invention, a detailed input biometric signal from a screening candidate individual is obtained. The detailed biometric signal of the screening candidate is matched against the weakened biometric representation included in the record for the target individual.

Abstract: Embodiments include method, systems and computer program products for proximity feedback for medication identification. Aspects include accessing, via a user device, a profile data for the user; reading, via the user device, identification data from an identification tag on an object; obtaining information associated with the identification data, wherein the information is associated with contents of the object; and providing a feedback to the user via the user device, the feedback is based upon the information and an interaction between the user of the user device and the object.

Abstract: Technical solutions are described for training an object-recognition neural network that identifies an object in a computer-readable image. An example method includes assigning a first neural network for determining a visual alignment model of the images for determining a normalized alignment of the object. The method further includes assigning a second neural network for determining a visual representation model of the images for recognizing the object. The method further includes determining the visual alignment model by training the first neural network and determining the visual representation model by training the second neural network independent of the first. The method further includes determining a combined object recognition model by training a combination of the first neural network and the second neural network. The method further includes recognizing the object in the image based on the combined object recognition model by passing the image through each of the neural networks.

Abstract: Embodiments include method, systems and computer program products for providing medication-related feedback. Aspects include receiving medication information for a patient. Aspects also include receiving a biological, behavioral, or environmental output from a sensor. Aspects also include determining, based upon the biological, behavioral, or environmental output and the medication information for the patient, whether a medication dose is needed. Aspects also include, based on a determination that the medication dose is needed, generating an alert.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.

Abstract: Techniques for motivating a user during a workout using different coaching styles are provided. In one aspect, a method for motivational coaching of a user during workout sessions includes the steps of: selecting a coaching style for the user based on input from the user and from coaching styles used for at least one other user; determining, during a workout session, whether the coaching style should be changed to enhance performance of the user based on data obtained from the user via a mobile device worn by the user; changing the coaching style if it is determined that the coaching style should be changed to enhance performance of the user; continuing with a current coaching style if it is determined that the coaching style should not be changed; and providing feedback to the user during the workout session based on the coaching style.

Abstract: An embodiment of the invention provides a method of analyzing an image of a user to determine whether the image is authentic, where a first image of a user's face is received with a camera. Four or more two-dimensional feature points can be located that do not lie on the same two-dimensional plane. Additional images of the user's face can be received; and, the at least four two-dimensional feature points can be located on each additional image with the image processor. The image processor can identify displacements between the two-dimensional feature points on the additional image and the two-dimensional feature points on the first image for each additional image. A processor can determine whether the displacements conform to a three-dimensional surface model. The processor can determine whether to authenticate the user based on the determination of whether the displacements conform to the three-dimensional surface model.

Abstract: Techniques for leveraging the capabilities of wearable mobile technology to collect data and to provide real-time feedback to an orator about his/her performance and/or audience interaction are provided. In one aspect, a method for providing real-time feedback to a speaker making a presentation to an audience includes the steps of: collecting real-time data from the speaker during the presentation, wherein the data is collected via a mobile device worn by the speaker; analyzing the real-time data collected from the speaker to determine whether corrective action is needed to improve performance; and generating a real-time alert to the speaker suggesting the corrective action if the real-time data indicates that corrective action is needed to improve performance, otherwise continuing to collect data from the speaker in real-time. Real-time data may also be collected from members of the audience and/or from other speakers (if present) via wearable mobile devices.

Abstract: A display device comprises a plurality of light emitting elements in a layer on a substrate, a plurality of microprisms positioned over the layer, a plurality of light detectors on the substrate, each light detector respectively corresponding to a light emitting element of the plurality of light emitting elements, and a display screen, wherein the light detectors are used to sense at least one property of an item in contact with the display screen.

Abstract: The present invention provides techniques for leveraging the sensing capabilities of wearable mobile technology, such as a smartwatch, to provide real-time harm prevention. In one aspect of the invention, a method for harm prevention is provided. The method includes the steps of: collecting real-time data from at least one user, wherein the data is collected via a mobile device worn by the user (e.g., a smartwatch); analyzing the real-time data collected from the user to determine whether the real-time data indicates an emergency situation exists; and undertaking an appropriate action if the real-time data indicates that an emergency situation exists, otherwise continuing to collect data from the user in real-time. Third party data relating to potential source of harm to the user may also be obtained (e.g., from a weather service, newsfeeds, etc.

Abstract: An embodiment of the invention provides a method for secure biometrics matching with split phase client-server matching protocol, wherein a first biometric input is received in an electronic device. The first biometric input is stored in the electronic device as a biometric profile; and, the biometric profile is sent to a server. An additional biometric input is received from a user in the electronic device; and, the additional biometric input is compared to the biometric profile stored in the electronic device to generate a local matching score. The additional biometric input is sent to the server. The local matching score and a remote matching score generated by the at least one server are compared; and, it is determined whether to authenticate the user based on the comparison of the local matching score and the remote matching score.

Abstract: Techniques for modifying user behavior and screening for impairment using a mobile feedback controller, such as a smartwatch, are provided. In one aspect, a method for monitoring a user includes the steps of: collecting real-time data from the user, wherein the data is collected via a mobile feedback controller worn by the user; determining whether the data collected from the user indicates impairment; determining appropriate corrective actions to be taken if the data collected from the user indicates impairment, otherwise continuing to collect data from the user in real-time; determining whether any action is needed; and undertaking the appropriate corrective actions if action is needed, otherwise continuing to collect data from the user in real-time.

Abstract: A system and method for generating a cancelable biometric includes providing at least one pattern and combining the at least one pattern with a biometric image by employing a transform pixel operation to generate a transformed enrollment such that information about the transform pixel operation and the at least one pattern form a security key for protecting the biometric image. The biometric image is reused to generate another security key in the event that the security key is to be canceled.

Abstract: A similarity detection system receiving a plurality of input entities, the system including a cohesive subgraph identification device configured to calculate, based on attributes of the plurality of input entities, a first parameter and a second parameter based on the first parameter, and further configured to identify a plurality of subgraphs from the second parameter and a subgraph correlation tracking and clustering device configured to determine a relationship between different subgraphs based on a similarity factor between the second parameter and the plurality of subgraphs.

Abstract: A face clustering system for video face clustering in a video sequence, the system including an inherent supervision summarization device configured to collect group-level supervision and instance level supervision within a same chunklet based on a user input of face images for a person, a discriminative projection learning device configured to embed group constraints of the group-level supervision into a transformed space, and configured to generate an embedding space from the original image feature space, and a clustering device, in the embedding space, configured to execute pair-wise based clustering to cluster the video images into different clusters with the instance level supervision collected by the inherent supervision summarization device.

Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

Abstract: One or more processors generate a set of facial appearance parameters that are derived from a first facial image. One or more processors generate a graphics control vector based, at least in part, on the set of facial appearance parameters. One or more processors render a second facial image based on the graphics control vector. One or more processors compare the second facial image to the first image. One or more processors generate an adjusted vector by adjusting one or more parameters of the graphics control vector such that a degree of similarity between the second facial image and the first facial image is increased. The adjusted vector includes a biometric portion. One or more processors generate a first face representation based, at least in part, on the biometric portion of the adjusted vector.

Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

Abstract: An object detection method can begin with receipt of an ensemble classifier previously trained upon a binary dataset of images for an object. The ensemble classifier can be defined by a list, W, of N weak classifiers, wn for n=1, . . . , N. The ensemble classifier can be trained as a detector for the object using a training dataset of images; each image can have a set of candidates having one or more known ground truth candidates. As a result of training, the weak classifiers can be reordered, based upon performance, into a new list, W?, and a rejection threshold on candidate rank can be assigned for each detection stage. A cascading algorithm can be performed using the trained detector to detect the object in an image having known object candidates. The rejection threshold for a stage of the cascading algorithm can be applied to a rank of the object candidates.