Wristwatch Speed Calculation Using Dynamic Step Length Correction

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Solution Overview

Problem

Existing mobile electronic devices require input of a user's step length value, which can be unknown and varies with walking or running speed, leading to inaccuracies in speed calculation.

Innovation Solution

An electronic apparatus that calculates traveling speed using relational data between traveling pitch and speed, with a correcting unit to adjust data based on measured pitch and speed, and an input unit for body height to enhance accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a fixed step length value is used for speed calculation, then the calculation process is simple, but the measurement precision deteriorates because step length varies with traveling status

Engineering Contradiction:
Improvecalculation processVSAvoidspeed measurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies dynamics by transitioning from a fixed step length value to a dynamic determination method. The step length is no longer a constant parameter but is determined based on the relationship between traveling pitch (steps per unit time) and traveling speed, allowing the step length to adapt to different traveling statuses (walking vs. running) and speeds, thereby improving measurement precision while maintaining calculation simplicity through automated determination.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If step length value is manually input by user, then the operation complexity increases, but the reliability improves when user knows their step length

Engineering Contradiction:
Improveoperation complexityVSAvoidspeed calculation reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent implements self-service by enabling the electronic apparatus to automatically determine the user's step length without manual input. The system uses the relationship between traveling pitch and traveling speed to calculate step length autonomously, eliminating the need for users to manually input or know their step length values, thus maintaining ease of operation while improving reliability through automated, consistent determination.

Inventive Principle:
Principle #25Self-service

3Device complexity

If only step length data is used for speed calculation, then the device complexity is low, but the measurement precision deteriorates due to step length variations

Engineering Contradiction:
Improvedata processing complexityVSAvoidspeed calculation precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies parameter changes by introducing a new parameter relationship between traveling pitch and traveling speed to determine step length. Instead of relying solely on fixed step length data, the system uses the dynamic relationship between how many steps are taken per unit time (traveling pitch) and the actual traveling speed to calculate an accurate step length, thereby improving speed calculation precision while keeping device complexity low through mathematical relationships.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10422809B2Electronic apparatus and program
Publication Date: 2019.09.24 ASICS CORP
  • US10422809B2 patent drawing
  • US10422809B2 patent drawing
  • US10422809B2 patent drawing

AI summary

A wristwatch includes a storing unit that stores relational data for predetermined user classifications, such as gender and body height, indicating a relationship between a traveling pitch, which is the number of steps taken by a user per predetermined amount of time, and a traveling speed which is a running speed or a walking speed. A correcting unit corrects the stored relational data based on a set of a measured traveling pitch and a measured traveling speed. A speed calculating unit calculates a traveling speed of the user from a measured traveling pitch of the user based on the stored relational data that correspond to a user classification input by the user and that has been corrected.