Abstract: The disclosed embodiments illustrate a method and a system for managing crowd-sensed data, associated with events occurring in a geographical area. The method includes receiving crowd-sensed data from one or more data sources, wherein the crowd-sensed data comprises one or more event reports associated with at least a type of each of one or more events reported by the one or more data sources. The method further includes generating a data structure based on an aggregation of the received crowd-sensed data. Further, the method includes determining first information and second information based on at least the generated data structure, a reputation score of each of the one or more data sources and metadata associated with each of the one or more event reports. The method further includes displaying at least the determined first information and second information based on at least a prioritization of the one or more events.

Abstract: The disclosed embodiments illustrate a method and a system for managing crowd-sensed data, associated with events occurring in a geographical area. The method includes receiving crowd-sensed data from one or more data sources, wherein the crowd-sensed data comprises one or more event reports associated with at least a type of each of one or more events reported by the one or more data sources. The method further includes generating a data structure based on an aggregation of the received crowd-sensed data. Further, the method includes determining first information and second information based on at least the generated data structure, a reputation score of each of the one or more data sources and metadata associated with each of the one or more event reports. The method further includes displaying at least the determined first information and second information based on at least a prioritization of the one or more events.

Abstract: The disclosed embodiments illustrate methods and systems for processing crowd-sensed data to generate actionable insights of geographical areas. The method includes extracting the crowd-sensed data, corresponding to one or more events in a geographical area, from one or more data sources. The extracted crowd-sensed data is stored in a storage device based on at least a time, a location, and an event category associated with the extracted crowd-sensed data. The method further includes aggregating the stored crowd-sensed data based on at least the location and the event category. The method further includes rendering graphical distributions of the one or more events in the geographical area, based on at least the aggregated data, on a user interface displayed on a display screen of a computing device. The graphical distributions of the one or more events are representative of the actionable insights of the geographical area.

Abstract: A processor of a handheld apparatus receives orientation signals from an orientation sensor of the handheld apparatus. The orientation signals indicate the direction that a camera of the handheld apparatus is aimed. The processor can also receive touch signals from a touch sensor of the handheld apparatus. The touch signals can indicate that the handheld apparatus is contacting a user (e.g., is being held by the user). The processor controls the camera to automatically obtain video based on, for example, the orientation signals indicating that the direction that the camera is aimed is within a previously established acceptable orientation range. The processor automatically recognizes items within the video to identify a face within the video, and automatically analyzes changes of the face within the video over time to identify the heart rate, respiration rate, emotional state, stress level, etc., exhibited by the face within the video.

Abstract: A method and a system are provided for monitoring a physiological parameter of a user. The method comprises monitoring an operation performed on one or more input devices associated with an electronic device and one or more applications being accessed on the electronic device using one or more first sensors for a pre-defined time frame. The method utilizes one or more processors to identify a current time instant based on the monitoring of the operation. The one or more processors further determine whether the current time instant may correspond to an opportune time instant by utilizing a classifier. In an embodiment, the physiological parameter of the user may be monitored at the current time instant when the current time instant corresponds to the opportune time instant.