Abstract: This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.

Abstract: The present disclosure provides embodiments for improved monitoring of building environments for building automation based on environment inferences and various aspects associated therewith. A method can include receiving, via a standalone sensing device positioned in a monitored building environment, real-time environmental sensor data. The method can include generating, for the monitored building environment and based on the real-time environmental sensor data, an environmental building inference indicative of a state of at least one of an occupancy of the monitored building environment, an asset within the monitored building environment, or an ambience of the monitored building environment. The method can include generating, for the monitored building environment based on the environmental building inference, a prescriptive building insight.

Abstract: A biometric processing system for authentication combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.

Abstract: An apparatus and method for improving the security of trigger action platforms of a type providing interoperability between computer services send the trigger service additional information about an interoperability rule for the computer services so that the trigger service may implement a minimizer reducing the data communicated when the interoperability is implemented. Implementation of the minimizer may be done in a way that is transparent to the trigger action platform eliminating the need for disruption of existing interoperability services.

Abstract: An apparatus and method for improving the security of trigger action platforms of a type providing interoperability between computer services send the trigger service additional information about an interoperability rule for the computer services so that the trigger service may implement a minimizer reducing the data communicated when the interoperability is implemented. Implementation of the minimizer may be done in a way that is transparent to the trigger action platform eliminating the need for disruption of existing interoperability services.

Abstract: A biometric processing system for authentication combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.