Gesture tracking in energy-constrained devices

By integrating camera-based and bio-signal measurement-based gesture recognition systems and establishing a user-specific database of approved gestures, the system optimizes power efficiency and accuracy in lightweight XR devices, addressing the challenges of high energy consumption and user comfort.

WO2026130694A1PCT designated stage Publication Date: 2026-06-25TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Filing Date
2024-12-19
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Existing gesture recognition systems for lightweight energy-constrained XR devices are not optimized for power efficiency and do not account for user-specific preferences or limitations, leading to high energy consumption and inaccurate gesture detection.

Method used

A system that integrates both camera-based and bio-signal measurement-based gesture recognition systems, allowing independent training and establishment of a user-specific database of approved gestures, enabling efficient power usage by prioritizing bio-signal recognition where possible.

Benefits of technology

This approach reduces overall power consumption and maintains high accuracy in gesture detection by leveraging user-specific gestures that are comfortable and easily recognizable by both systems, extending battery life in lightweight XR devices.

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Abstract

There is provided techniques for gesture recognition in a gesture tracking application. A method is performed by a controller device. The method comprises receiving user input from a user of the gesture tracking application. The user input identifies a set of gestures for the gesture tracking application. The method comprises training a BSMGRS and a CAMGRS to independently of each other recognize the set of gestures for the user. The method comprises establishing a database of gestures for the user. The database of gestures comprises a set of approved gestures comprises those of the gestures in the set of gestures for which the training of both the BSMGRS and the CAMGRS was successful. The method comprises performing gesture recognition of the user for the gesture tracking application. The gesture recognition is performed using the BSMGRS and in accordance with the established database of gestures.
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