Dynamic Training Session Scheduling via Real-Time Intensity Feedback

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Solution Overview

Problem

Current exercise training session scheduling technologies cannot dynamically adjust the difficulty of sessions in real time based on the physical condition of users, leading to inappropriate training sessions and reduced effectiveness.

Innovation Solution

A training session scheduling method that uses a sensing circuit and processing circuit to dynamically adjust training sessions by sensing the maximum ability value of test exercise items, estimating a fitness score, and updating the training exercise item schedule based on real-time intensity values and preset intensity values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If training sessions are arranged by assistants or systems using fixed schedules, then the training program is simple to implement, but the training difficulty cannot be dynamically adjusted based on user physical condition

Engineering Contradiction:

Improvedynamic adjustment of training difficultyVSAvoidsystem complexity for real-time monitoring

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The training session scheduling system transitions from a static fixed schedule to a dynamic system that automatically adjusts training difficulty in real-time based on sensed user physical conditions. The processing circuit continuously monitors physiological parameters and modifies training exercise item schedules accordingly, making the system adaptable to changing user states without requiring manual intervention.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements a closed-loop feedback mechanism where the sensing circuit continuously monitors user physical conditions during training, the processing circuit compares actual performance against target values, and automatically adjusts subsequent training parameters. This feedback loop enables dynamic difficulty adjustment by using real-time physiological data to inform scheduling decisions.

Inventive Principle:

Principle #23Feedback

2Reliability

If training sessions use fixed difficulty levels, then the scheduling system is simple to manage, but users receive inappropriate training sessions that do not match their actual physical condition

Engineering Contradiction:

Improveaccuracy of training session appropriatenessVSAvoidautomation level for real-time adjustment

Core Design Contradiction:

ReliabilityVSExtent of automation

Solution Approach 1:

The training scheduling system performs self-adjustment by automatically sensing user physical conditions and modifying training schedules without external intervention. The processing circuit independently evaluates sensed physiological data, determines appropriate training difficulty levels, and updates the exercise item schedule autonomously, eliminating the need for assistant intervention while ensuring training appropriateness.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically changes training parameters such as exercise intensity, duration, and type based on real-time physiological measurements. By adjusting these parameters according to sensed physical conditions, the system ensures training sessions remain appropriate to user capability while automating the previously manual assessment process.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If training intensity is not monitored in real-time, then the training process is simpler to execute, but users cannot complete training sessions or achieve desired effects due to inappropriate difficulty

Engineering Contradiction:

Improvetraining session completion rate and effectivenessVSAvoidreal-time intensity measurement complexity

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The sensing circuit is designed to monitor multiple physiological parameters simultaneously (heart rate, oxygen consumption, etc.), providing comprehensive training intensity assessment through a single integrated system. This multi-functional approach enables complete real-time monitoring without requiring multiple separate measurement devices, making the process feasible while improving training completion rates.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12268934B2Training session scheduling method, device, and non-volatile computer readable medium

Publication Date: 2025.04.08 BOMDIC

AI summary

A training session scheduling method, device, and non-volatile computer readable medium are provided. The method includes: sensing a maximum ability value of a test exercise item; estimating a fitness score of the user according to the maximum ability value; arranging a training exercise item schedule of a training session according to the fitness score; sensing a training intensity value of the training exercise item performed by the user during the training time; estimating a unit intensity value of the training exercise item in the unit time according to the training intensity value; comparing the unit intensity value with a preset intensity value corresponding to the training exercise item; updating the preset intensity value of the training exercise item and updating the maximum ability value of the training exercise item; and estimating the fitness score according to the updated maximum ability value.