Google llc (20240094827). Robust Radar-Based Gesture-Recognition by User Equipment simplified abstract

Robust Radar-Based Gesture-Recognition by User Equipment

Organization Name

google llc

Inventor(s)

Jung Ook Hong of Sunnyvale CA (US)

Patrick M. Amihood of Palo Alto CA (US)

John David Jacobs of San Diego CA (US)

Abel Seleshi Mengistu of Mountain View CA (US)

Leonardo Giusti of San Francisco CA (US)

Vignesh Sachidanandam of Redwood City CA (US)

Devon James O'reilley Stern of Oakland CA (US)

Ivan Poupyrev of Los Altos CA (US)

Brandon Barbello of Mountain View CA (US)

Tyler Reed Kugler of Palo Alto CA (US)

Johan Prag of Mountain View CA (US)

Artur Tsurkan of San Francisco CA (US)

Alok Chandel of Mountain View CA (US)

Lucas Dupin Moreira Costa of Mountain View CA (US)

Selim Flavio Cinek of Los Angeles CA (US)

Robust Radar-Based Gesture-Recognition by User Equipment - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240094827 titled 'Robust Radar-Based Gesture-Recognition by User Equipment

Simplified Explanation

The patent application describes systems and techniques for robust radar-based gesture recognition. Here are the key points:

• Radar system detects radar-based gestures for application subscribers.
• State machine transitions based on inertial sensor data.
• No-gating state allows radar system to output gestures to subscribers.
• Soft-gating state prevents output of gestures to subscribers.
• Hard-gating state stops radar system from detecting gestures.
• Techniques conserve power, improve accuracy, and reduce latency.

Potential Applications

This technology can be applied in various fields such as:

• Human-computer interaction
• Virtual reality and augmented reality
• Automotive safety systems

Problems Solved

The technology addresses the following issues:

• Power consumption in gesture recognition systems
• Accuracy and reliability of gesture recognition
• Latency in detecting and responding to gestures

Benefits

The benefits of this technology include:

• Efficient power usage
• Enhanced accuracy in gesture recognition
• Reduced latency in system response

Potential Commercial Applications

This technology can be utilized in industries such as:

• Consumer electronics
• Automotive
• Healthcare

Possible Prior Art

One possible prior art in this field is the use of infrared sensors for gesture recognition in consumer electronics.

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

This article does not provide a direct comparison with existing systems, so it is unclear how this technology stacks up against current solutions.

What are the potential limitations or drawbacks of implementing this radar-based gesture recognition system?

The article does not address any potential limitations or drawbacks of this technology, leaving room for further exploration into its practical implications and challenges.

Original Abstract Submitted

systems and techniques are described for robust radar-based gesture-recognition. a radar system detects radar-based gestures on behalf of application subscribers. a state machine transitions between multiple states based on inertial sensor data. a no-gating state enables the radar system to output radar-based gestures to application subscribers. the state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. a hard-gating state prevents the radar system from detecting radar-based gestures altogether. the techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. by so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.