Wearable Sensor System for Automatic Workout Routine Identification
Find Innovative SolutionsGenerate 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
Engineering 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
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.
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.
2Ease of operation
If wearable sensors and automated detection systems are implemented, then ease of operation and productivity improve, but device complexity increases
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.
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.
3Measurement precision
If comprehensive sensor measurement and pattern recognition are used, then measurement precision and reliability improve, but device complexity and processing requirements worsen
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.
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.
Data Source
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.


