Samsung electronics co., ltd. (20240212386). METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR simplified abstract
Contents
- 1 METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR - 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 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR
Organization Name
Inventor(s)
METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212386 titled 'METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR
Simplified Explanation
The method described in the patent application involves using a sensor in a wearable device to identify a user's hand and estimate the position of their shoulder based on the hand's orientation.
- The method uses a sensor in a wearable device to recognize a hand in a detection area.
- It estimates the position of the user's shoulder based on the hand's orientation and the position of other body parts.
- Information about the probability of the user's shoulder being in the estimated position is used to determine if the recognized hand belongs to the genuine user.
Key Features and Innovation
- Utilizes a sensor in a wearable device to identify a user's hand.
- Estimates the position of the user's shoulder based on the hand's orientation.
- Determines the authenticity of the user's hand based on the probability of their shoulder being in the estimated position.
Potential Applications
This technology could be used in:
- Wearable devices for authentication and security purposes.
- Virtual reality and augmented reality applications.
- Biometric identification systems.
Problems Solved
- Enhances security by verifying the authenticity of the user's hand.
- Improves user experience in virtual and augmented reality environments.
- Provides a more accurate and reliable method of user identification.
Benefits
- Increased security and authentication.
- Enhanced user experience in virtual and augmented reality.
- Improved accuracy in user identification.
Commercial Applications
Title: "Enhanced User Authentication Technology for Wearable Devices" This technology could be applied in:
- Security systems for access control.
- Biometric authentication solutions.
- Virtual reality gaming and entertainment industries.
Prior Art
Further research can be conducted in the fields of biometric authentication, wearable technology, and virtual reality systems to explore similar technologies and innovations.
Frequently Updated Research
Stay updated on advancements in wearable technology, biometric authentication, and virtual reality systems to understand the latest developments in user identification technologies.
Questions about the Technology
How does this technology improve user authentication in wearable devices?
This technology enhances user authentication by using a sensor to identify a user's hand and estimate the position of their shoulder, providing a more secure method of verification.
What are the potential applications of this technology beyond user authentication?
This technology could be applied in virtual reality, augmented reality, and biometric identification systems, expanding its use beyond user authentication.
Original Abstract Submitted
provided is a method of identifying a hand of a genuine user wearing a wearable device. according to an embodiment, the method includes using a sensor included in the wearable device to recognize a hand located in a detection area of the sensor; estimating a position of a shoulder connected to the recognized hand based on a positional relation between the orientation of the recognized hand and at least one body part connected to the recognized hand; and using information about a probability of a shoulder of the genuine user being present in the estimated position to determine whether the recognized hand is a hand of the genuine user.
