Attention level monitoring and predicting method and device, equipment and storage medium
The invention discloses an attention level monitoring and predicting method and device, equipment and a storage medium, and the method comprises the steps: 1, obtaining pupil diameter data of a current detected person, carrying out the preprocessing, removing an abnormal value, and carrying out the linear interpolation of a gap after the abnormal value is removed, and obtaining the preprocessed pupil diameter data; step 2, according to the preprocessed pupil diameter data, defining a regulation capability index, and calculating the regulation capability index to obtain a time sequence of the regulation capability index; 3, extracting a concentration index according to the time sequence of the regulation capability index, and establishing a concentration prediction model which has two concentration modes, namely a concentration mode and a distraction mode; and 4, predicting and displaying the concentration state according to the established prediction model, and further reminding..
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 14. Nov. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
XIE KANGNING [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-11-14, Last update posted on www.tib.eu: 2024-02-05, Last updated: 2024-02-09 |
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| Patentnummer: |
CN117056793 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA01908031X |
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| 245 | 1 | 0 | |a Attention level monitoring and predicting method and device, equipment and storage medium |
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| 500 | |a Source: www.epo.org (no modifications made), First posted: 2023-11-14, Last update posted on www.tib.eu: 2024-02-05, Last updated: 2024-02-09 | ||
| 520 | |a The invention discloses an attention level monitoring and predicting method and device, equipment and a storage medium, and the method comprises the steps: 1, obtaining pupil diameter data of a current detected person, carrying out the preprocessing, removing an abnormal value, and carrying out the linear interpolation of a gap after the abnormal value is removed, and obtaining the preprocessed pupil diameter data; step 2, according to the preprocessed pupil diameter data, defining a regulation capability index, and calculating the regulation capability index to obtain a time sequence of the regulation capability index; 3, extracting a concentration index according to the time sequence of the regulation capability index, and establishing a concentration prediction model which has two concentration modes, namely a concentration mode and a distraction mode; and 4, predicting and displaying the concentration state according to the established prediction model, and further reminding. | ||
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
| 650 | 4 | |a inf | |
| 650 | 4 | |a A61B: Diagnosis; surgery; identification (analysing biological material g01n, e.g. g01n0033480000) | |
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| 650 | 4 | |a 615 | |
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| 700 | 0 | |a MA JIAOJIAO |4 aut | |
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