Smartphone Radar Detection for Low-Power User Intent Recognition
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Solution Overview
Problem
Smartphones struggle to recognize nonverbal communication cues, leading to inefficient and frustrating interactions as they often require user activation before responding, and conventional sensors consume excessive power without distinguishing between user presence and intent.
Innovation Solution
A smartphone-based radar system operates in a lower-power mode, using a radar field to detect user presence and intent through position, posture, and gestures, transitioning between idle, attention, and interaction modes to conserve battery and enhance responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the smartphone operates in a high-power mode to continuously monitor user interactions, then the responsiveness and user experience are improved, but the battery power consumption increases
Solution Approach 1:
The radar system dynamically adjusts its operating modes between idle and active states based on detected user presence and interaction intent. The system transitions from a low-power idle mode to a higher-power active mode only when user interaction is detected, optimizing the balance between responsiveness and power consumption
Solution Approach 2:
The radar system performs preliminary detection of user presence and interaction intent before fully activating the smartphone's interaction capabilities. This preliminary action allows the system to prepare for upcoming interactions while maintaining lower power consumption during non-interaction periods
2Difficulty of detecting and measuring
If the smartphone uses conventional sensors to detect user presence, then the detection capability is provided, but the power consumption is excessive and cannot distinguish between presence and intent
Solution Approach 1:
The patent replaces conventional mechanical and capacitive sensors with a radar-based detection system. The radar system uses electromagnetic wave reflection to detect not only user presence but also subtle movements and gestures, providing both presence and intent detection while consuming less power than continuous operation of traditional sensors
3Use of energy by moving object
If the smartphone requires explicit user activation before responding, then the power consumption is reduced, but the user experience becomes frustrating and inconvenient
Solution Approach 1:
The radar system continuously provides feedback about user presence and interaction intent to the smartphone's operating system. This feedback mechanism allows the smartphone to automatically adjust its state and respond to users more naturally, improving ease of operation while maintaining power efficiency through intelligent state management
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
The system allows smartphones to anticipate user interactions, reducing power consumption and frustration by maintaining a low-power state until intent is detected, enabling efficient and natural 3D gesture control.
Implementation Method 1
The radar system provides a radar field and senses reflections from an object in the radar field
Data Source
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AI summary
This document describes techniques and systems that enable a smartphone-based radar system for determining user intention in a lower-power mode. The techniques and systems use a radar field (110) to enable the smartphone to accurately determine the presence or absence of a user (112) and further determine the intention of the user to interact with the smartphone (716, 718, 720, 722). Using these techniques, the smartphone can account for the user's nonverbal communication cues to determine and maintain an awareness of users in its environment, and only respond to direct interactions once a user has demonstrated an intention to interact, which preserves battery power. The smartphone may determine the user's intention by recognizing various cues from the user, such as a change in position relative to the smartphone, a change in posture, or by an explicit action, such as a gesture.