Method for recognizing a predetermined gesture

The method improves the reliability of kick sensors by analyzing electrical signals from contactless motion sensors through time windows and boosting-type classification algorithms, effectively reducing false activations and enhancing the accuracy of gesture recognition for motor vehicle trunk control.

WO2024260921A1PCT designated stage expired Publication Date: 2024-12-26SCHAEFFLER TECHNOLOGIES AG & CO KG
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Patent Information

Application Number
PCT/EP2024/066805
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-06-22
Filing Date
2024-06-17
Publication Date
2024-12-26

AI Technical Summary

Technical Problem

Existing kick sensors for motor vehicles are prone to misinterpreting movements, leading to unintended activations due to sensitivity issues, often triggering the opening or closing of the trunk when users or passersby accidentally interact with the sensor area.

Method used

A method utilizing a contactless motion sensor to detect a predetermined gesture by dividing the electrical signal into time windows, determining specific signal characteristics, and applying a boosting-type classification algorithm to accurately classify the gesture as either positive or negative, thereby reducing false positives and negatives.

Benefits of technology

This approach enhances the reliability of gesture recognition, ensuring that only intended gestures trigger the opening or closing of the vehicle's trunk, minimizing unintended activations and improving user convenience.

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Abstract

The invention relates to a method for recognizing a predetermined gesture, such as a kick (16) or hand gesture, intended to control the opening or closing and / or the locking or unlocking of an opening element of a motor vehicle, the method being implemented by a computing unit (22). The method comprises obtaining an electrical signal from a contactless motion sensor (18), the electrical signal corresponding to a gesture; determining at least three windows in the electrical signal corresponding to approach, stop and withdrawal phases of the gesture, determining the value of at least one characteristic associated with the electrical signal for each of the time windows; and using a boosting classification algorithm to determine whether the gesture belongs to one of the following two classes: positive event, indicating that the gesture corresponds to the predetermined gesture, and negative event, indicating that the gesture does not correspond to the predetermined gesture.
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Citation Information

Patent Citations

  • MOTION SENSOR DATA ENCODING METHOD, ASSOCIATED DEVICE AND SYSTEM

    FR3121832A1

  • System and Method for Controlling Access to a Trunk of a Vehicle Using a Radar Sensor

    US20190302253A1