Machine learning (ml) model based pinch-detection from time-series data of motor associated with vehicle movable gate

An electronic device, comprising:

• control circuitry coupled to a motor configured to control an operation associated with a movable gate of a vehicle, the control circuitry configured to:
• acquire time-series data associated with an operation of the motor;
• determine statistical features associated with the acquired time-series data;
• acquire sensor data associated with a set of sensors of the vehicle;
• apply a machine learning (ML) model on the acquired time-series data and the sensor data, wherein
• the ML model is trained based on the determined statistical features;
• determine a type of pinch corresponding to the movable gate of the vehicle, based on the application of the ML model;
• and
• control the operation of the motor based on the determined type of pinch.

A method, comprising:

• in a vehicle including a motor configured to control an operation associated with a movable gate of the vehicle:
• acquiring time-series data associated with an operation of the motor;
• determining statistical features associated with the acquired time-series data;
• acquiring sensor data associated with a set of sensors of the vehicle;
• applying a machine learning (ML) model on the acquired time-series data and the sensor data, wherein
• the ML model is trained based on the determined statistical features;
• determining a type of pinch corresponding to the movable gate of the vehicle, based on the application of the ML model;
• and
• controlling the operation of the motor based on determined type of pinch.