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METHOD AND SYSTEM FOR DETECTING A FALL BASED ON COMPARING DATA TO CRITERIA DERIVED FROM MULTIPLE FALL DATA SETS
METHOD AND SYSTEM FOR DETECTING A FALL BASED ON COMPARING DATA TO CRITERIA DERIVED FROM MULTIPLE FALL DATA SETS
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机译:基于将数据与多个下降数据集相比较的判据进行故障检测的方法和系统
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摘要
A device monitors sensor data generated by movement of a wearer and determines whether the data indicates a fall. The device may include accelerometers, barometer(s), and sensors that detect, light, sound, temperature, magnetic and electric fields, strain-force on the device, and other environmental conditions. A processor determines whether the data meets a first criterion for a parameter (i.e., exceeding, an acceleration or barometric pressure maximum threshold). The first criterion corresponds to a first set of known-fall event data sets. If the first criterion is met, the processor generates a full indication. If the data does not meet the first criterion, the processor compares the data to a second criterion for the same, or different, parameter. If the second parameter is met, further processing confirms a fall determination by comparing the data to other criteria corresponding to known-fall event data sets that differ from the first set.
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