Google llc (20240231505). Facilitating Ambient Computing Using a Radar System simplified abstract
Contents
Facilitating Ambient Computing Using a Radar System
Organization Name
Inventor(s)
Eiji Hayashi of Cupertino CA (US)
Jaime Lien of Mountain View CA (US)
Nicholas Edward Gillian of Palo Alto CA (US)
Andrew C. Felch of Palo Alto CA (US)
Jin Yamanaka of Mountain View CA (US)
Blake Charles Jacquot of San Carlos CA (US)
Facilitating Ambient Computing Using a Radar System - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240231505 titled 'Facilitating Ambient Computing Using a Radar System
Simplified Explanation: The patent application describes techniques and apparatuses that enable ambient computing using a radar system, allowing for eye-free interaction and gesture-based user interfaces.
Key Features and Innovation:
- Radar system for ambient computing
- Eye-free interaction
- Less cognitively demanding gesture-based user interface
- Addressing challenges like power consumption, environmental variations, background noise, size, and user privacy
- Machine-learned module for gesture recognition up to two meters away
- Trained to filter background noise and minimize false positives
Potential Applications: The technology can be applied in smart devices, home automation, healthcare monitoring, and security systems.
Problems Solved: The technology addresses challenges related to traditional physical user interfaces, power consumption, environmental factors, background noise, and user privacy in ambient computing.
Benefits:
- Enhanced user experience
- Improved gesture recognition
- Efficient power consumption
- Increased user privacy
Commercial Applications: The technology can be utilized in smart home devices, healthcare monitoring systems, security cameras, and industrial automation.
Prior Art: Readers can explore prior art related to radar systems, ambient computing, gesture recognition, and machine learning in the field of smart devices.
Frequently Updated Research: Stay updated on advancements in radar technology, ambient computing, gesture recognition algorithms, and machine learning models for smart devices.
Questions about Radar System for Ambient Computing: 1. How does the radar system in ambient computing differ from traditional physical user interfaces? 2. What are the potential privacy implications of using a radar system for ambient computing?
1. A relevant generic question not answered by the article, with a detailed answer. How does the radar system in ambient computing improve user experience compared to other smart devices?
2. Another relevant generic question, with a detailed answer. What are the key challenges in implementing a radar system for ambient computing, and how are they addressed in this patent application?
Original Abstract Submitted
techniques and apparatuses are described that facilitate ambient computing using a radar system. compared to other smart devices that rely on a physical user interface, a smart device with a radar system can support ambient computing by providing an eye-free interaction and less cognitively demanding gesture-based user interface. the radar system can be designed to address a variety of challenges associated with ambient computing, including power consumption, environmental variations, background noise, size, and user privacy. the radar system uses an ambient-computing machine-learned module to quickly recognize gestures performed by a user up to at least two meters away. the ambient-computing machine-learned module is trained to filter background noise and have a sufficiently low false positive rate to enhance the user experience.
