Mercedes-Benz Group has patented a method for identifying hand poses in vehicles using neural networks. The technology involves extracting hand images from vehicle images, processing contextual images through a neural network, and identifying hand poses based on contextual features. GlobalData’s report on Mercedes-Benz Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Mercedes-Benz Group, Battery management systems was a key innovation area identified from patents. Mercedes-Benz Group's grant share as of January 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

Hand pose identification in vehicles using neural network

Source: United States Patent and Trademark Office (USPTO). Credit: Mercedes-Benz Group AG

The granted patent (Publication Number: US11887396B2) discloses a computerized method for hand pose identification in a vehicle image. The method involves extracting a fixed-size hand image using a single point associated with the hand, obtaining contextual images based on this single point, processing them through a neural network to derive contextual features, and identifying the hand pose using a classifier model. The neural network utilized in the method includes layers such as convolution units, batch normalization units, rectified linear units, fully connected units, and pooling units. Additionally, the method involves aggregating contextual features for accurate hand pose identification.

Furthermore, the patent also describes a system comprising a processor and memory storing instructions for executing the method. The system is designed to extract hand images, obtain contextual images, process them through a neural network, and identify hand poses based on contextual features. The system allows for event performance corresponding to the identified hand pose. The method and system outlined in the patent aim to provide a reliable and efficient way of recognizing hand poses in vehicle images, with potential applications in various industries requiring gesture recognition technology.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.