AI artificial intelligence breath detection data model

Abstract

The invention discloses an AI artificial intelligence breath detection data model. The system comprises a historical database, the output end of the historical database is connected with a data preparation module, the output end of the data preparation module is connected with a data preprocessing module, the output end of the data preprocessing module is connected with a configuration model, theoutput end of the configuration model is connected with a training module, and the output end of the training module is connected with an evaluation optimization module. According to the AI artificialintelligence breath detection data model, data extracted from the data preparation module is processed and analyzed, including deletion of error data, interpolation processing of missing data, encoding of interpolation processing data and other related data calculation; the training module evaluates the difference between the training output and the test output according to two key indexes of thetraining result and the training speed of the training module, compares the difference values generated by the training output and the test output, outputs a comparison value, and reduces errors through one-time iteration and comparison after the training of the evaluation optimization module is finished, so that the accuracy of the model is improved.

Description

technical field [0001] The invention relates to the technical field of breath detection, in particular to a data model for breath detection by AI artificial intelligence. Background technique [0002] In the existing technology, smart phones and smart wearable devices have become necessary communication, entertainment, and various sensor detection tools for people, which greatly facilitate our life and extend our body functions. At present, MEMS sensors are gradually emerging with wearable devices, which can make the previous analog circuits or single-function devices have more functions. Especially the microphone, which currently integrates a digital low-power wake-up mechanism, can be turned on around the clock to perform voiceprint recognition, detect specific sentences at all times, and execute related instructions, which greatly improves the intelligence of the device and application scenarios. But people often use microphones to talk, which is a common voice input ent...

AI Technical Summary

Problems solved by technology

However, the current equipment for detecting human breath is an independent equipment, so ordinary users will not buy such equipment alone

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