A reasoning method for monitoring the living conditions of the elderly based on Bayesian formula
A Bayesian formula, living state technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as large network bandwidth, privacy protection, and inability to prevent suicide, to improve accuracy, reduce The effect of instability
Inactive Publication Date: 2017-09-29
济南工程职业技术学院
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Problems solved by technology
The existing problems are 1. Privacy protection; 2. The comfort of the elderly and the acceptance of the elderly; 3. The uncertainty of the status of the elderly reflected by the sensor, the interpretation method of the conclusion and its accuracy
Push-button help systems do not prevent suicide or differentiate between unintentional help-calling and incapacity to call for help
The video surveillance system has problems such as privacy permission issues, continuous occupation of a large amount of network bandwidth, and the need for specialized personnel to continuously monitor and interpret, etc.
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[0041] The present invention will be further described and defined below in conjunction with the accompanying drawings and specific embodiments.
[0042]A Bayesian formula-based reasoning method for monitoring the living conditions of the elderly, including a sensor system, an expert system, an inference engine, a conclusion judgment module and a self-learning module. Bedroom pyroelectric sensor, middle hall pyroelectric sensor, kitchen pyroelectric sensor, magnetic door switch, tap water flow sensor, lighting current sensor, gas flow sensor and help button; The initial prior probability of the events of breakfast, lunch, lunch break, nap, dinner, bed, and going out, the conditional probability that the above event triggers the sensor and the conditional probability that the sensor is triggered when the above event does not occur; The inference engine is a computer iterative method based on the Bayesian formula, which is used to calculate the posterior probability of events re...
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The invention discloses an elder life state monitoring and inference method based on the Bayes formula. The method is based on the Bayes formula, the posterior probability after an accident representing an elder life state occurs can be calculated through the initial prior probabilities of accidents representing elder life states, condition probabilities of that the accidents occur and trigger a sensor, and condition probabilities of that the accidents do not occur and trigger the sensor in a specialist system, and trigger signals of the sensor, so as to reduce the indeterminacy of a determination, and to make the accuracy rate of the determination up to more than 95%.
Description
technical field [0001] The invention relates to an artificial intelligence reasoning method for monitoring living conditions of the elderly, specifically a Bayesian formula-based reasoning method for monitoring the living conditions of the elderly, belonging to the field of artificial intelligence. Background technique [0002] Unaccompanied seniors living at home will be at risk if they become unwell and have emergencies such as falls. In order to deal with these dangers, a large number of researches have been carried out at home and abroad, and a large number of results have appeared, including papers, patents and products. These achievements focus on 1. Sensor detection system, which determines the state and behavior of the elderly through sensors installed in the elderly's living room; 2. Wearable and implantable medical detection system, which can monitor the pulse of the elderly , blood pressure, ECG, respiration, blood oxygen and other parameters are uploaded to the ...
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IPC IPC(8): G06F19/00
Inventor 李伟
Owner 济南工程职业技术学院