18078051. EQUALIZING AND TRACKING SPEAKER VOICES IN SPATIAL CONFERENCING simplified abstract (Intel Corporation)
Contents
EQUALIZING AND TRACKING SPEAKER VOICES IN SPATIAL CONFERENCING
Organization Name
Inventor(s)
Sumod Cherukkate of Bangalore (IN)
Willem Beltman of West Linn OR (US)
Mallari Hanchate of Bangalore (IN)
Srikanth Potluri of Folsom CA (US)
Sangeeta Manepalli of Chandler AZ (US)
Abhishek Srivastav of Bangalore (IN)
EQUALIZING AND TRACKING SPEAKER VOICES IN SPATIAL CONFERENCING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18078051 titled 'EQUALIZING AND TRACKING SPEAKER VOICES IN SPATIAL CONFERENCING
The patent application describes a system for user tracking using depth sensing and camera information from an in-room device to perform face recognition and calculate distances between users.
- The device identifies metadata including depth sensing and camera information from an in-room device with a camera.
- Face recognition is performed on in-room users based on the metadata.
- Distances between users are calculated using the number of pixels across their faces.
- The system can determine the distance between multiple in-room users based on facial pixel data.
- Potential Applications:**
This technology could be used in security systems, interactive gaming, personalized advertising, and virtual reality applications.
- Problems Solved:**
This system addresses the need for accurate user tracking and distance calculations in various applications.
- Benefits:**
The system provides precise user tracking, enhances security measures, improves interactive experiences, and enables personalized content delivery.
- Commercial Applications:**
"User Tracking System Utilizing Depth Sensing and Face Recognition" could be utilized in security systems, gaming consoles, virtual reality headsets, and retail analytics platforms.
- Prior Art:**
Researchers may want to explore prior art related to depth sensing technologies, facial recognition systems, and user tracking methods.
- Frequently Updated Research:**
Stay informed about advancements in depth sensing technology, facial recognition algorithms, and user tracking systems for potential improvements in this field.
- Questions about User Tracking Systems Utilizing Depth Sensing and Face Recognition:**
1. How does this technology improve user experience in interactive applications? 2. What are the privacy implications of using facial recognition for user tracking?
Original Abstract Submitted
This disclosure describes systems, methods, and devices related to user tracking. A device may identify metadata comprising depth sensing information and camera information received from an in-room device located at a first location having a first camera. The device may perform face recognition on one or more in-room users. The device may calculate a distance of a first in-room user based on the metadata and a first number of pixels across the face of the first in-room user. The device may calculate a distance between the first in-room user and a second in-room user based on the metadata and the first number of pixels across the face of the first in-room user and a number of pixels across the face of the second in-room user.
