Harman International Industries, Incorporated (20240349003). IMPROVED HEAD TRACKING FOR THREE-DIMENSIONAL AUDIO RENDERING simplified abstract
Contents
IMPROVED HEAD TRACKING FOR THREE-DIMENSIONAL AUDIO RENDERING
Organization Name
Harman International Industries, Incorporated
Inventor(s)
Alfredo Fernandez Franco of Sherman Oaks CA (US)
IMPROVED HEAD TRACKING FOR THREE-DIMENSIONAL AUDIO RENDERING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240349003 titled 'IMPROVED HEAD TRACKING FOR THREE-DIMENSIONAL AUDIO RENDERING
Simplified Explanation: The patent application describes methods for improved head tracking for three-dimensional audio rendering by utilizing sensor outputs from sensors on a seat to predict the position and orientation of a user's head.
- Machine learning model trained to predict head position and orientation parameters
- Sensor outputs from fixed positions on a seat used for prediction
- Predicted parameters provided to audio system for enhanced three-dimensional audio rendering
Key Features and Innovation:
- Utilization of sensor outputs from seat sensors for head tracking
- Training a machine learning model to predict head position and orientation parameters
- Providing predicted parameters to an audio system for improved three-dimensional audio rendering
Potential Applications:
- Virtual reality systems
- Gaming consoles
- Home entertainment systems
Problems Solved:
- Enhanced accuracy in head tracking for immersive audio experiences
- Improved spatial audio rendering for users
Benefits:
- Enhanced user experience in virtual environments
- More realistic audio rendering for games and movies
Commercial Applications: The technology could be applied in virtual reality headsets, gaming consoles, and home theater systems to provide users with a more immersive audio experience.
Prior Art: Prior research in the field of audio rendering and head tracking technologies could provide insights into similar approaches and techniques used in the past.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for audio processing and spatial audio rendering techniques.
Questions about Head Tracking for Three-Dimensional Audio Rendering: 1. How does the use of machine learning models improve head tracking accuracy in audio rendering? 2. What are the potential limitations of using sensor outputs from fixed positions on a seat for predicting head position and orientation?
Original Abstract Submitted
mechanisms and methods are provided for improved head tracking for three-dimensional audio rendering. in some embodiments, methods may comprise obtaining sensor outputs from a plurality of sensors at fixed positions on a portion of a seat (e.g., a headrest of the seat). the sensor outputs may be provided to a machine learning model, which may be trained to predict parameters related to a position and/or an orientation of a head of a user of the seat based on those sensor outputs as well as corresponding position and/or orientation parameters from a motion tracking device used during training. the machine learning model may in turn provide a set of translation and quaternion parameter predictions to an audio system for improved rendering of three-dimensional audio signaling for the headrest.
