Wrist Terminal Position Filtering for Movement State Accuracy
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Solution Overview
Problem
Existing position specifying systems face challenges in accurately determining the appropriateness of user position information due to varying movement states, leading to potential erroneous detections and reduced accuracy.
Innovation Solution
A wrist terminal equipped with a control unit, sensors, and filters such as an acceleration filter, loss extension filter, and positioning context filter, which analyze user behavior and sensor data to selectively apply filters based on activity types, thereby enhancing the accuracy of position information determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If position information is determined using only past position and speed information, then the determination process is simple, but the accuracy of position information determination deteriorates when user movement state changes
Solution Approach 1:
The patent applies dynamics by making the determination criterion adaptive rather than static. The system dynamically adjusts the determination criterion based on the user's current movement state (walking, running, vehicle, etc.), which is identified through analysis of position information changes over time. This allows the system to maintain high accuracy across varying movement conditions without requiring an overly complex predetermined rule set for every possible scenario.
Solution Approach 2:
The patent changes the parameter used for determination from fixed past position and speed data to a dynamic criterion that incorporates movement state classification. By introducing movement state as a variable parameter that changes based on observed position patterns, the system improves accuracy while keeping the overall process relatively simple through automated state recognition.
2Measurement precision
If multiple filters are applied based on movement state, then the accuracy of position determination is improved, but the device complexity increases
Solution Approach 1:
The patent segments the position determination process into distinct filtering stages: acceleration filter, loss extension filter, and positioning context filter. Each filter addresses specific types of errors or anomalies in position data. By dividing the complex filtering task into manageable segments that can be applied conditionally based on movement state, the system achieves high accuracy without overwhelming complexity in any single component.
Solution Approach 2:
The system dynamically selects and applies appropriate filters based on the detected movement state. Rather than always applying all filters regardless of context, the system adapts which filters are active based on whether the user is walking, running, in a vehicle, or stationary. This dynamic approach improves accuracy for each specific scenario while reducing unnecessary processing complexity.
3Productivity
If position information is determined without considering movement state, then the processing is fast and simple, but erroneous detections increase when movement state changes
Solution Approach 1:
The patent applies preliminary action by first identifying the user's movement state through analysis of position information changes before performing the actual position determination. This preliminary classification of movement state (walking, running, vehicle, etc.) allows the system to prepare and apply appropriate determination criteria in advance, ensuring both speed and reliability in the subsequent position calculation without requiring complex real-time adjustments during the determination process itself.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~3C
AI summary
Appropriateness/inappropriateness of position information of a user is determined with higher accuracy. A wrist terminal 1 includes a positioning information acquiring unit 51, a behavior determining unit 52, a first filter processing unit 54, a second filter processing unit 55, a third filter processing unit 56, and a display control unit 58. The positioning information acquiring unit 51 acquires position information of a user. The behavior determining unit 52 specifies a movement state of the user. The first filter processing unit 54, the second filter processing unit 55, the third filter processing unit 56 are determination devices (filters) according to the movement state and determine appropriateness/inappropriateness of position information acquired by the positioning information acquiring unit 51.