Telefonaktiebolaget lm ericsson (publ) (20240342429). ADAPTATION OF SENSES DATASTREAMS IN VIRTUAL REALITY AND AUGMENTED REALITY ENVIRONMENTS simplified abstract

ADAPTATION OF SENSES DATASTREAMS IN VIRTUAL REALITY AND AUGMENTED REALITY ENVIRONMENTS

Organization Name

telefonaktiebolaget lm ericsson (publ)

Inventor(s)

Athanasios Karapantelakis of SOLNA (SE)

Divya Sachdeva of NEW DELHI (IN)

Lackis Eleftheriadis of Valbo (SE)

Maxim Teslenko of SOLLENTUNA (SE)

Konstantinos Vandikas of Solna (SE)

Alexandros Nikou of Danderyd (SE)

Alessandro Previti of STOCKHOLM (SE)

Kristijonas Cyras of San Jose CA (US)

ADAPTATION OF SENSES DATASTREAMS IN VIRTUAL REALITY AND AUGMENTED REALITY ENVIRONMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240342429 titled 'ADAPTATION OF SENSES DATASTREAMS IN VIRTUAL REALITY AND AUGMENTED REALITY ENVIRONMENTS

The abstract describes a computer-implemented method for adapting a sensory datastream by predicting and adapting the user's state based on obtained information.

• Obtaining a raw sensory datastream from a source, which includes input for a sensory actuator of a user device.
• Obtaining state information indicating the user's current state.
• Predicting a desired second state of the user using a machine learning model based on the obtained state information.
• Determining an action to adapt the raw sensory datastream based on the desired second state of the user.
• Adapting the raw sensory datastream to create a processed sensory datastream based on the determined action and the user's current state.
• Providing the processed sensory datastream to the sensory actuator of the user device.

Potential Applications: - Personalized user experiences in wearable devices - Healthcare monitoring and intervention systems - Adaptive assistive technologies for individuals with disabilities

Problems Solved: - Enhancing user experience by predicting and adapting to user states - Improving the efficiency of sensory data processing - Providing tailored solutions based on individual user needs

Benefits: - Increased user satisfaction and comfort - Enhanced device performance and usability - Personalized and adaptive technology solutions

Commercial Applications: Title: Personalized Adaptive Technology Solutions for Enhanced User Experience This technology can be utilized in wearable devices, healthcare systems, and assistive technologies to provide personalized and adaptive solutions for users, improving overall user experience and device performance. The market implications include increased demand for customized technology solutions in various industries.

Questions about the technology: 1. How does the machine learning model predict the desired second state of the user? - The machine learning model analyzes the obtained state information to predict the user's desired second state based on patterns and trends in the data. 2. What are the potential challenges in implementing this technology in real-world applications? - Some challenges may include data privacy concerns, integration with existing systems, and ensuring the accuracy of predictions.

Original Abstract Submitted

in one aspect, a computer-implemented method of adapting a sensory datastream is provided. the method includes obtaining a raw sensory datastream from a source, wherein the raw sensory datastream comprises input for a sensory actuator of a user device. the method includes obtaining state information, wherein the state information comprises information indicating a first state of a user. the method includes predicting, using a machine learning model, a desired second state of the user based on the obtained state information. the method includes determining an action to adapt the raw sensory datastream based on the desired second state of the user. the method includes adapting the raw sensory datastream in accordance with the determined action and the first state of the user to create a processed sensory datastream. the method includes providing the processed sensory datastream to the sensory actuator of the user device.