18369127. GESTURE RECOGNITION WITH HAND-OBJECT INTERACTION simplified abstract (Apple Inc.)

GESTURE RECOGNITION WITH HAND-OBJECT INTERACTION

Organization Name

Apple Inc.

Inventor(s)

Lailin Chen of Kirkland WA (US)

Ashwin Kumar Asoka Kumar Shenoi of San Jose CA (US)

Daniel J. Brewer of San Jose CA (US)

Eslam A. Mostafa of San Jose CA (US)

Itay Bar Yosef of Sunnyvale CA (US)

Julian K. Shutzberg of San Francisco CA (US)

Leah M. Gum of Sunol CA (US)

Martin Meloun of San Jose CA (US)

Minhaeng Lee of Sunnyvale CA (US)

Victor Belyaev of San Jose CA (US)

GESTURE RECOGNITION WITH HAND-OBJECT INTERACTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18369127 titled 'GESTURE RECOGNITION WITH HAND-OBJECT INTERACTION

Simplified Explanation

The patent application describes improved techniques for gesture recognition, including detecting and classifying interactions between body parts and other objects to control gesture recognition based on the interaction.

• Gesture recognition technology
• Detecting and classifying interactions between body parts and objects
• Controlling gesture recognition based on interactions
• Selecting recognition parameters based on interaction classification
• Disabling recognition of certain gestures while enabling others

Potential Applications

This technology could be applied in various fields such as:

• Virtual reality and augmented reality systems
• Gaming consoles
• Sign language recognition systems

Problems Solved

This technology helps in:

• Enhancing user experience in virtual environments
• Improving accuracy in gesture-based control systems
• Reducing false positives in gesture recognition

Benefits

The benefits of this technology include:

• More precise gesture recognition
• Enhanced user interaction with devices
• Customizable gesture control options

Potential Commercial Applications

Potential commercial applications of this technology could include:

• Consumer electronics
• Healthcare devices
• Automotive interfaces

Possible Prior Art

One possible prior art for this technology could be the use of motion sensors in gaming consoles to detect and recognize gestures for gameplay.

How does this technology impact user privacy?

This article does not address the potential privacy concerns related to gesture recognition technology and the collection of user data.

What are the limitations of this technology in real-world applications?

The article does not discuss any potential challenges or limitations that may arise when implementing this technology in practical settings.

Original Abstract Submitted

Aspects of the subject technology provide improved techniques for gesture recognition. Improved techniques may include detecting and/or classifying an interaction between the body part and another object in a scan of the body part, and then controlling recognition of a gesture based on the interaction. In an aspect, recognition parameters may be selected based on the interaction classification that disable recognition of one or more gestures while not disabling recognition of other gestures.