Apple inc. (20240094825). GESTURE RECOGNITION WITH HAND-OBJECT INTERACTION simplified abstract

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 20240094825 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 objects to control gesture recognition based on these interactions.

• Improved techniques for gesture recognition
• Detecting and classifying interactions between body parts and objects
• Controlling gesture recognition based on these 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
• Human-computer interaction interfaces
• Gaming and entertainment industries

Problems Solved

This technology helps address the following issues:

• Accurate and reliable gesture recognition
• Enhanced user experience in interactive systems
• Reduction of false positives in gesture recognition

Benefits

The benefits of this technology include:

• Improved accuracy and efficiency in gesture recognition
• Customizable recognition parameters for different applications
• Enhanced user control and interaction experience

Potential Commercial Applications

This technology has potential commercial applications in:

• Consumer electronics
• Healthcare and rehabilitation devices
• Security and surveillance systems

Possible Prior Art

One possible prior art for this technology could be existing gesture recognition systems in gaming consoles and smart devices.

What are the specific interaction classifications used in this technology?

The specific interaction classifications used in this technology are not explicitly mentioned in the abstract. However, they could include categories such as touch, proximity, pressure, and movement.

How does this technology compare to existing gesture recognition systems in terms of accuracy and efficiency?

The abstract does not provide a direct comparison between this technology and existing gesture recognition systems in terms of accuracy and efficiency. Further details or a comparative analysis would be needed to answer this question accurately.

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.