Personalized Body Movement Detection for Accurate Energy Calculation
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Solution Overview
Problem
Existing body movement detecting apparatuses fail to accurately calculate energy consumption as they do not account for individual user characteristics, such as unique walking styles, leading to inconsistent energy calculations across diverse users.
Innovation Solution
A body movement detecting apparatus that includes a data acquisition unit, memory unit, and computing unit to determine the type of activity based on user-specific registered data, allowing for personalized energy consumption calculations using activity strength indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preset conditions are applied uniformly for all users, then the device operation is simplified, but the measurement precision of energy consumption is deteriorated
Solution Approach 1:
The system performs preliminary action by having users register their individual body movement characteristics (walking style, running style, etc.) before actual energy consumption measurement. This pre-registration of personal data enables subsequent accurate energy calculation without requiring complex real-time adjustments, thus maintaining ease of operation while improving measurement precision.
Solution Approach 2:
The invention applies local quality by transitioning from uniform preset conditions for all users to user-specific customized conditions. Each user's body movement data is individually registered and stored, allowing the system to apply localized (personalized) detection thresholds and parameters matched to each user's unique characteristics, thereby improving energy consumption measurement accuracy.
2Measurement precision
If individual user characteristics are taken into consideration, then the measurement precision of energy consumption is improved, but the device complexity is increased
Solution Approach 1:
The system uses copying by creating a reference model of each user's body movement characteristics through initial registration. Instead of implementing complex real-time analysis of unique user patterns, the system captures representative movement data during registration and stores it as reference templates. During actual measurement, the system compares current movements against these copied reference patterns, significantly reducing processing complexity while maintaining high measurement precision.
3Productivity
If body movement detection is performed always under certain conditions, then the productivity of the device is improved, but the measurement precision for individual users is deteriorated
Solution Approach 1:
The system performs preliminary action by pre-registering each user's individual body movement characteristics (walking style, running style, activity types) before actual energy consumption measurement. This creates a personalized reference database that enables the device to quickly and accurately identify and measure individual user activities without requiring complex real-time analysis, thus maintaining both high productivity and precision.
Solution Approach 2:
The invention applies local quality by transitioning from uniform preset conditions for all users to user-specific customized conditions. Each user's body movement data is individually registered and stored, allowing the system to apply localized (personalized) detection thresholds and parameters matched to each user's unique characteristics, thereby improving energy consumption measurement accuracy.
Data Source
AI summary
There is provided a body movement detecting apparatus including: a body movement data acquiring unit configured to detect a body movement of a user and acquire body movement data relating to the body movement; a memory unit configured to memorize the body movement data corresponding to the type of an activity of the user as registered body movement data; a body movement determining unit configured to compare the body movement data acquired by the body movement data acquiring unit with the registered body movement data and determine the type of the activity of the user; and a computing unit configured to be able to calculate consumed energy by the body movement corresponding to the type of the activity determined by the body movement determining unit.


