Geo-spatial Grammar for Location-Aware Speech Recognition
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Solution Overview
Problem
Existing location-aware systems and speech-recognition technologies are limited in their ability to integrate geo-spatial information to generate actions based on user location, particularly in situations where GPS signals are unreliable or when predicting user destinations and behaviors.
Innovation Solution
A geo-spatial grammar is introduced within a speech-recognition system that uses rules related to user locations to estimate geo-locations and trigger actions in location-aware applications, allowing for the integration of geo-spatial data with traditional speech recognition functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional GPS-based location systems are used, then position, time, and velocity can be determined, but the systems are limited in accuracy and cannot provide reliable location data in urban canyons or areas with insufficient satellite signals
Solution Approach 1:
The patent combines multiple location determination methods (GPS, cellular tower triangulation, Wi-Fi positioning, and inertial sensors) into a unified location-aware system. This hybrid approach allows the system to maintain reliable location tracking across diverse environments by switching between or combining different positioning technologies depending on availability and accuracy requirements.
Solution Approach 2:
The location-aware system is designed to perform multiple functions beyond basic GPS positioning, including geo-fence detection, destination prediction, user behavior analysis, and integration with speech-recognition systems. This multi-functionality allows a single system to serve various applications from navigation to commercial analytics.
2Loss of information
If speech-recognition systems are enhanced with geo-spatial grammar rules, then destination prediction and user behavior analysis improve, but the system complexity and processing requirements increase
Solution Approach 1:
The system pre-processes and stores geo-spatial grammar rules, user location patterns, and destination preferences in advance. By preparing this information beforehand, the system can quickly match current location data against pre-defined patterns and rules, reducing real-time processing complexity while maintaining high prediction accuracy.
Solution Approach 2:
The patent introduces a geo-spatial grammar module as an intermediary layer between the location-aware system and speech-recognition system. This module translates complex geo-spatial data and user behavior patterns into simplified rules and events that the speech-recognition system can process, thereby reducing overall system complexity while preserving analytical capabilities.
3Productivity
If geo-fences are extended to large retail environments for customer flow tracking, then commercial analytics improve, but privacy concerns and data security requirements increase
Solution Approach 1:
The system extracts and processes only essential location data needed for commercial analytics, such as entry/exit events from geo-fenced retail areas, dwell time, and movement patterns. By selectively extracting only the necessary information rather than collecting comprehensive personal data, the system reduces privacy risks while maintaining analytical value for retail applications.
Data Source
AI summary
A geo-spatial grammar comprises rules, syntax, and other means by which a data input is determined to have a meaning associated with a particular event. The event may then be provided to an application, such as a calendaring or messaging application. As a benefit, an input, such as a user speaking the phrase, “I'll be there in an hour,” may be interpreted, via the geo-spatial grammar, as an event (e.g., “I'll be in the office,”“I'll join you for dinner,”“I'll be home,” etc.). An application may then perform an action based upon the event (e.g., reschedule the meeting that starts in five minutes, present directions to the restaurant on the user's car's navigation system, notify the user's spouse, etc.).