Motion-Based UI Subset Selection via Wireless Signal Analysis
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Solution Overview
Problem
Traditional motion detection systems in wireless communications networks are inadequate for accurately determining user equipment (UE) motion, leading to inefficient limiting of mobile device functionality, particularly in vehicles, which can compromise safety and compliance with regulations.
Innovation Solution
A motion analysis component that accesses and analyzes UE motion data to determine subsets of accessible user interface functions, using timed fingerprint locating (TFL) for improved accuracy and efficiency, allowing for adaptive UI functionality based on UE motion, such as limiting keypad functionality during high speeds or enabling hands-free mode in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional motion detection systems (speed sensors, AGPS) are used to determine UE motion, then motion detection capability is provided, but measurement precision and reliability are insufficient leading to inadequate motion detection accuracy
Solution Approach 1:
The patent introduces wireless signal propagation characteristics as an intermediary to detect UE motion. Instead of directly measuring motion through sensors or GPS, the system uses changes in wireless signal properties (time of arrival, frequency shifts, signal strength) caused by UE movement to infer motion state, thereby achieving accurate and reliable motion detection without direct mechanical or satellite-based measurement
Solution Approach 2:
The patent replaces mechanical speed sensors and satellite-based AGPS systems with a wireless signal-based detection mechanism. By substituting physical/mechanical motion measurement with electromagnetic wave propagation analysis, the system achieves motion detection that is more accurate, reliable, and integrated with the wireless communication infrastructure
2Measurement precision
If AGPS is used to determine UE position for motion detection, then position information is obtained, but use of energy increases significantly decreasing battery life
Solution Approach 1:
The patent enables the wireless communication system to serve dual purposes: normal communication and motion detection. The same wireless signals used for data transmission carry motion information, eliminating the need for separate power-intensive positioning systems like AGPS. The system essentially detects motion 'for free' as a byproduct of normal wireless communication operations
Solution Approach 2:
The patent substitutes power-intensive satellite-based AGPS with energy-efficient wireless signal analysis. By using existing communication infrastructure and signals to detect motion, the system eliminates the need for additional power-consuming positioning hardware and processing
3Measurement precision
If traditional motion detection systems are used, then basic motion detection is provided, but device complexity increases due to multiple interface requirements and technological integrations
Solution Approach 1:
The patent makes the wireless communication system multi-functional by enabling it to perform both normal communication and motion detection simultaneously. The same wireless interface and signal processing infrastructure serve dual purposes, eliminating the need for separate motion detection subsystems and their associated interfaces and integrations
Solution Approach 2:
The patent merges motion detection functionality with the wireless communication system. By combining these previously separate functions into a unified system that uses wireless signal characteristics for both communication and motion sensing, the patent reduces overall system complexity while maintaining detection capability
4Reliability
If UE functionality is limited based on inaccurate motion detection, then safety compliance is attempted, but the limiting effectiveness is reduced due to incorrect motion determination
Solution Approach 1:
The patent implements a feedback mechanism where wireless signal characteristics continuously provide motion information to the system. This real-time feedback enables accurate determination of UE motion state, allowing the system to make informed decisions about functionality limiting to ensure proper safety compliance without incorrect restrictions
Data Source
AI summary
The present disclosure relates to motion adaptive user equipment (UE) in a wireless communications network environment adapted for selecting one or more subsets of accessible user interface (UI) functions based, at least in part, on the determined motion of a UE. By selectively employing the one or more subsets of UI functions, a UE can dynamically adapt to the motion of the UE and limit distracting interactions with the UE creating a safer or more compliant wireless environment. Further disclosed are features related to override of UI limitations, auxiliary location sensing aspects, motion rule updating features, and voluntary and involuntary user preference aspects.