Sight Line Area Calculation for Event Detection
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Solution Overview
Problem
Conventional methods for detecting abnormal events by collecting positional information from mobile terminals are imprecise and incur high calculation costs when continuously monitoring sight lines of multiple individuals.
Innovation Solution
An information processing system that acquires motion information, determines state changes, and calculates visually recognized areas based on sight line information, reducing data processing requirements by transmitting only relevant sight line information to a server for event identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If positional information of mobile terminals is collected to detect abnormal events, then event detection capability is provided, but estimation precision of the area where abnormality is occurring is insufficient
Solution Approach 1:
The patent introduces sight line information as an intermediary parameter between positional information and area estimation. By adding this intermediate measurement (where users are looking), the system bridges the gap between simple position data and accurate area identification, allowing more precise determination of where abnormalities are occurring without requiring complex continuous monitoring of all users.
2Measurement precision
If sight lines of indefinite number of people are monitored to detect area where abnormality is occurring, then area detection precision is improved, but calculation costs increase due to huge amount of data processing
Solution Approach 1:
The patent extracts and transmits only the critical sight line information (direction and position of gaze) from the complete set of user data, rather than processing all raw sensor data continuously. This extraction approach maintains area detection precision by focusing on the most relevant parameter (where users are looking) while significantly reducing the computational burden on the server.
Solution Approach 2:
The system performs partial monitoring by selectively processing sight line information only when state changes are detected at the mobile terminal, rather than continuously monitoring all users' sight lines. This partial action approach maintains effective area detection capability while reducing overall calculation costs by processing data only when necessary.
3Speed
If continuous monitoring of sight lines is performed to constantly detect area where abnormality is occurring, then real-time detection capability is provided, but data processing requirements increase
Solution Approach 1:
The patent implements periodic action by having the mobile terminal perform local state change detection and only transmit sight line information when changes are detected, rather than continuously streaming all data. This allows the system to maintain real-time detection capability through event-triggered transmission, significantly reducing the quantity of data that needs to be processed while preserving the ability to quickly identify emerging abnormalities.
Data Source
AI summary
An information processing system includes an acquiring unit that acquires motion information indicating a current motion of a user, a determining unit that compares the motion information acquired by the acquiring unit with standard information indicating a motion of the user in a predetermined state to determine the presence or absence of a state change of the user, and a calculating unit that, when the determining unit determines that a state change is present, calculates an area that the user visually recognizes based on sight line information concerning a sight line of the user contained in the motion information.