International Business Machines Corporation (Armonk, NY)

A processor can acquire contextual information, like motion and sound, in order to aid with the awareness of contextual events. The processor utilizes the information from the context to determine the sequence of proximity, which includes the context of an incident. The proximity sequence is processed by machine learning. This lets the processor create a risk assessment that takes into account the impact of the event on the user. A processor can determine that the risk assessment exceeds the threshold set by the processor. A processor provides a notification of the danger to the user.

This disclosure generally relates to image and sound recognition classification, as well as more specifically to contextual event awareness through risk assessment as well as a notification delivery systems.

Contextual image classification is an approach of classification based on contextual information contained in images. Sound recognition is a technology that is based on traditional pattern recognition theories and techniques for analyzing audio signals. Image processing is a broad area of signal processing that includes methods to separate the object of importance. Video processing encompasses the majority of the methods used to process images however it also covers techniques where the temporal nature of video data is tapped. Artificial neural networks are computing systems that are influenced by neural networks that are derived from biological. An artificial neural network is built on a set of connected units , also called artificial neurons, which loosely model theneurons in the human brain. Artificial neural networks are utilized for a wide range of applications, such as speech recognition machine translation, social network filtering. They also play games on boards and assist in diagnosing medical issues.

An embodiment of the present disclosure discloses a method for context-sensitive event awareness. A processor receives context-related information, including sound and motion detection. The processor uses contextual information to establish the sequence of proximity, as well as the context of an incident. A processor applies machine learning to the proximity sequence to determine an assessment of risk, in the circumstances of the event that affects the user. The processor decides that the riskassessment exceeds a predetermined threshold. The processor alerts the user of a potential risk.

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