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Method and System for Real Time Monitoring of Passive Distress in Challenged Individuals

IP.com Disclosure Number: IPCOM000247081D
Publication Date: 2016-Aug-02
Document File: 3 page(s) / 66K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for real-time observing of passive distress in challenged individuals is disclosed. The method and system utilizes video, audio and other available sensors to assist challenged individuals by monitoring their physical behavior.

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Method and System for Real Time Monitoring of Passive Distress in Challenged Individuals

In many countries, there are problems faced by an aging population, which requires, as time passes, more and more resources in terms of both direct support and support for health care. Unfortunately, often times the resources are not available, because of

which, many people are under-served. The population of challenged individuals such as, elderly living on their own, adult living centers, assisted living and nursing homes is growing and resources are limited and are under-pressure. Therefore, a method and system is proposed to assist challenged individuals whether they are living alone, in an assisted living center, or in full time nursing homes. The method and system utilizes video, audio and other available sensors to monitor the challenged individuals. The method and system monitors the physical behavior and body position of the challenged individuals to detect abnormal situations and an alert to one or more care responders is initiated. Abnormal situations, in the context of this disclosure, are those situations in

which the observed individual may be in need of assistance from one or more care

responders.

The following Figure illustrates an embodiment in accordance with the method and system disclosed herein.

Figure

In an implementation, the method and system observes challenged individuals in real-time through video, audio, and other available sensors. Subsequently, the method and system performs real time video processing and explicitly identifies the physical behavior such as, but not limited to, body position (normal and abnormal condition) and body motion (too fast, slow or no change), negative affect (utilizing affect theory

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science) and body temperature of the challenged individuals. Thereafter, the sensor inputs of the observed individual's physical behavior are compared against a heuristic based model. The heuristic based model can be tuned, or updated over time, to reflect the specific individual's behavior. Further, in case, the actual behavior deviated from established behavior, an audio interrogation of the observed individual is carried out. The response to the audio interrogation is compared to known responses. Furthermore, in case, the audio interrogation provides an unsatisfactory result, an alert to one or more care responders is initiated. Moreover, the method and system utilizes learning model to improve results and to minimize false warnings.

Alternatively, the observed individuals can either select or deselect the actual video pictures to address any privacy concerns. The video monitoring can be accomplished in any manner, such as, but not limited to, fixed cameras in the room, or via a robotic "pet" that would track the challenged individuals from room to room. In addition, movement monitoring can create a record that can be reviewed over time to verify for either declining or recovering health con...