Multi-Room Radar Computing for Seamless Gesture Continuity
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Solution Overview
Problem
Existing home automation systems using virtual assistant technology are limited to a single room, requiring users to return to the device to interact or carry mobile devices, leading to a tedious and non-seamless experience across multiple rooms, and raise privacy concerns with microphone and camera usage.
Innovation Solution
A system of multiple radar-enabled computing devices that coordinate information and operations across rooms, using radar to detect and distinguish users and recognize gestures without requiring personal identification, enabling seamless operation and tailored experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple radar-enabled computing devices are deployed across rooms, then seamless user experience and gesture recognition accuracy are improved, but device complexity and system coordination requirements increase
Solution Approach 1:
The system divides the home environment into multiple proximate regions, each covered by a separate radar-enabled computing device. Each device independently processes radar signals within its local region, making user detection and gesture recognition decisions autonomously. This segmentation allows seamless user experience across rooms while keeping individual device complexity manageable through distributed intelligence.
2Measurement precision
If radar signals are transmitted continuously for user detection, then user presence detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The radar-enabled computing devices transmit radar signals periodically rather than continuously. The system sends out radar-transmit signals at regular intervals to detect user presence and gestures in the proximate region. This periodic transmission maintains adequate detection accuracy while significantly reducing energy consumption compared to continuous transmission.
3Measurement precision
If stored radar-signal characteristics are used for user identification, then user distinction accuracy is improved, but privacy concerns regarding data storage increase
Solution Approach 1:
The system extracts and stores only essential radar-signal characteristics needed for user distinction and gesture recognition, such as motion patterns, gesture trajectories, and presence detection data. By taking out only the necessary features rather than storing complete raw radar data or personal information, the system achieves accurate user distinction while minimizing privacy concerns through reduced data storage requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables seamless control and personalized experiences across multiple rooms by accurately detecting and recognizing user gestures, while maintaining privacy through radar-based detection and reducing the need for personal information collection.
Implementation Method 1
transmitting a first radar-transmit signal from a first radar-enabled computing device; receiving, at the first radar-enabled computing device, a first radar-receive signal
Data Source
AI summary
A system of multiple radar-enabled computing devices, along with related techniques, are described in this document. These techniques are employed with this system to coordinate information and operations across multiple radar-enabled computing devices to create a seamless experience. In particular, each computing device of the computing system may have access to stored radar-signal characteristics that enable detection and distinction of users and detection and recognition of gestures. Computing devices may coordinate in-progress operations to provide continuity across multiple devices. When positioned in different locations, each device may also learn over time users, gestures, and versions of gestures associated with that location to anticipate them in the future.