Apple inc. (20240312167). MULTIPLE DEVICE MODEL AUGMENTATION simplified abstract
Contents
- 1 MULTIPLE DEVICE MODEL AUGMENTATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MULTIPLE DEVICE MODEL AUGMENTATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
MULTIPLE DEVICE MODEL AUGMENTATION
Organization Name
Inventor(s)
MULTIPLE DEVICE MODEL AUGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312167 titled 'MULTIPLE DEVICE MODEL AUGMENTATION
Simplified Explanation
The patent application describes a method to improve user data on a wearable device using external device data.
- Receiving sensor data from a wearable device depicting a user.
- Receiving sensor data from a separate device showing the user, with some information not present in the first data.
- Determining that the second sensor data depicts the user based on similarities with the first data.
- Updating the user model based on the second sensor data.
Key Features and Innovation
- Integration of external device data to enhance user data on a wearable device.
- Comparison of sensor data from different devices to improve accuracy.
- Automatic updating of user model based on external data.
Potential Applications
This technology can be used in fitness trackers, health monitoring devices, and smartwatches to provide more accurate user information.
Problems Solved
- Enhances user data accuracy on wearable devices.
- Allows for seamless integration of data from multiple sources.
- Improves user experience by updating user models automatically.
Benefits
- Improved accuracy of user data.
- Enhanced user experience on wearable devices.
- Seamless integration of data from external sources.
Commercial Applications
- Fitness tracking devices
- Health monitoring wearables
- Smartwatches
Questions about the Technology
How does this technology improve user data accuracy on wearable devices?
This technology uses external device data to enhance the user data on a wearable device, providing a more comprehensive and accurate user profile.
What are the potential applications of this technology beyond wearable devices?
This technology can also be applied in other fields such as healthcare, sports performance analysis, and security systems to improve data accuracy and user experience.
Original Abstract Submitted
various implementations disclosed herein include devices, systems, and methods that use external device data to improve user data on a wearable device. for example, an example process may include receiving first sensor data, from a sensor of a wearable electronic device, depicting a user of the wearable electronic device. the process may further include receiving second sensor data depicting the user from a second device separate from the wearable electronic device. at least a part of the user depicted in the second sensor data is absent in the first sensor data. the process may further include determining that a portion of the second sensor data depicts the user based on a similarity between the first sensor data and second sensor data. the process may further include updating a user model based on the second sensor data.
