Wearable Sensor System for Automatic Workout Routine Identification

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing fitness tracking technologies require manual recording and identification of exercise activities and workout routines, which is cumbersome and inefficient, especially for diverse exercises and routines.

Innovation Solution

A system of wearable sensors that measure motion, acceleration, position, and applied force, communicating data to a device for pattern recognition against stored profiles to automatically identify and record exercise activities and workout routines, eliminating the need for manual tracking.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual recording and identification of exercise activities is used, then device complexity is reduced, but productivity and ease of operation deteriorate due to cumbersome tracking

Engineering Contradiction:
Improveexercise tracking efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical recording processes with automated sensor-based detection systems. Motion sensors, accelerometers, and other detection devices automatically capture exercise data, eliminating the need for manual logging and significantly improving tracking efficiency while accepting increased system complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service exercise tracking where the automated detection system performs the tracking function without requiring user intervention. The sensors automatically detect and record exercise activities, sets, and repetitions, allowing users to focus on performance rather than logging, thus improving productivity.

Inventive Principle:
Principle #25Self-service

2Ease of operation

If wearable sensors and automated detection systems are implemented, then ease of operation and productivity improve, but device complexity increases

Engineering Contradiction:
Improveexercise logging convenienceVSAvoidsensor system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

Manual exercise logging is replaced with automated sensor detection systems that continuously monitor and record workout data. The system uses motion sensors, accelerometers, and pattern recognition algorithms to automatically identify exercises, sets, and repetitions, making operation as simple as wearing the device while accepting increased technical complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary processing layer that translates raw sensor data into meaningful exercise identification. Pattern recognition algorithms and data processing systems act as intermediaries between the physical sensors and the user interface, simplifying the user experience while managing the underlying complexity through automated processing.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If comprehensive sensor measurement and pattern recognition are used, then measurement precision and reliability improve, but device complexity and processing requirements worsen

Engineering Contradiction:
Improveexercise identification accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Manual exercise identification is replaced with automated pattern recognition systems that analyze sensor data to precisely identify exercise types, sets, and repetitions. The system uses algorithms to detect motion patterns and automatically classify exercises, improving measurement precision while accepting increased processing complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary data processing and pattern recognition on collected sensor data to pre-identify exercise activities before final recording. By processing data in real-time and pre-identifying exercise patterns, the system improves measurement accuracy while managing processing complexity through staged analysis.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10212986B2System, apparel, and method for identifying performance of workout routines
Publication Date: 2019.02.26 ARRIS ENTERPRISES LLC
  • US10212986B2 patent drawing
  • US10212986B2 patent drawing
  • US10212986B2 patent drawing

AI summary

A system for automatically identifying performance of workout routines is provided. The system includes a set of sensors wearable on a body of an exerciser during performance of exercises. Each sensor is configured to measure a parameter selected from motion, acceleration, position, and applied force, and to communicate parameters measured. The system also includes a device configured to receive a set of parameters measured over a period of time by the set of sensors and to access stored pattern information corresponding to a plurality of predetermined exercise activities and a plurality of predetermined workout routines to identify one or more performed exercise activities performed by the exerciser and to identify a performed workout routine performed by the exerciser during the period of time. Apparel and methods are also disclosed.