Drowsiness onset detection implementations predict when a person transitions from a state of wakefulness to a state of drowsiness based on heart rate information. Appropriate action is then taken to stimulate the person to a state of wakefulness or notify other people of their state (with respect to drowsiness/alertness). This generally involves capturing a person's heart rate information over time using one or more heart rate (HR) sensors and then computing a heart- rate variability (HRV) signal from the captured heart rate information. Using Discrete Fourier Transform and DiscreteWavelet Transform, the HRV signal is analyzed to extract features that are indicative of an individual's transition from a wakeful state to a drowsy state. The extracted features are input into an artificial neural net (ANN) that has been trained using the same features to identify when an individual makes the aforementioned transition to drowsiness. Whenever an onset of drowsiness is detected, a warning is initiated.


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    Titel :

    Drowsiness onset detection


    Beteiligte:
    KANNAN AADHARSH (Autor:in) / RAMASWAMY GOVIND (Autor:in) / GUJJAR AVINASH (Autor:in) / BHASKAR SRINIVAS (Autor:in)

    Erscheinungsdatum :

    2021-01-28


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    A61B DIAGNOSIS , Diagnostik / B60K Anordnung oder Einbau von Antriebseinheiten oder von Kraft- bzw. Drehmomentübertragungen in Fahrzeugen , ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme



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