Apple inc. (20240103635). Suppression of Hand Gestures upon Detection of Peripheral Events on a Peripheral Device simplified abstract

Suppression of Hand Gestures upon Detection of Peripheral Events on a Peripheral Device

Organization Name

apple inc.

Inventor(s)

Daniel J. Brewer of San Jose CA (US)

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

Tian Qiu of Mountain View CA (US)

Leah M. Gum of Sunol CA (US)

David J. Meyer of Menlo Park CA (US)

Julian K. Shutzberg of San Francisco CA (US)

Yirong Tang of San Francisco CA (US)

Suppression of Hand Gestures upon Detection of Peripheral Events on a Peripheral Device - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103635 titled 'Suppression of Hand Gestures upon Detection of Peripheral Events on a Peripheral Device

Simplified Explanation

The patent application describes a method for suppressing a hand gesture upon detecting peripheral events on a peripheral device. Here is a simplified explanation of the innovation:

• Determining hand poses for both hands in response to a detected peripheral event on a peripheral device.
• Identifying at least one hand in a peripheral use mode based on the hand poses.
• Detecting an input gesture from the identified hand in the peripheral use mode.
• Rejecting the input gesture if the hand is determined to be in the peripheral use mode.

Potential Applications

This technology could be applied in virtual reality systems, gaming consoles, and smart home devices to prevent accidental gestures from interfering with peripheral device operations.

Problems Solved

This innovation solves the issue of unintentional hand gestures triggering actions on peripheral devices, leading to a more seamless user experience.

Benefits

The technology enhances user interaction with peripheral devices by intelligently recognizing when a hand gesture should be suppressed, improving overall usability and reducing user frustration.

Potential Commercial Applications

Potential commercial applications include incorporating this technology into smart TVs, augmented reality headsets, and interactive kiosks to enhance user control and prevent unintended inputs.

Possible Prior Art

One possible prior art could be systems that use hand tracking technology to control devices, but without the specific feature of suppressing gestures based on peripheral events.

How does this technology impact user privacy and data security?

This article does not address the potential privacy implications of using computer vision systems to detect hand gestures and control peripheral devices. It would be essential to consider how user data is handled and protected in such systems.

What are the limitations of this technology in different environmental conditions?

The article does not discuss how factors like lighting, background noise, or hand occlusion may affect the accuracy of detecting hand poses and input gestures. Understanding these limitations is crucial for real-world implementation.

Original Abstract Submitted

suppressing a hand gesture upon detecting peripheral events on a peripheral device includes determining a first hand pose for a first hand a second hand pose for a second hand in response to a detected peripheral device peripheral event, determining, based on the first hand pose and the second hand pose, at least one hand of the first hand and the second hand in a peripheral use mode, detecting an input gesture from a hand of the at least one hand determined to be in the peripheral use mode, and rejecting the input gesture by a user input pipeline in accordance with the determination that the hand is in the peripheral use mode. the presence of a peripheral device is confirmed by activating a computer vision system in response to determining that a peripheral use condition is satisfied.