Exercise Data Logging Device Using Sensor Fusion
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Solution Overview
Problem
Conventional exercise equipment and fitness tracking methods lack an efficient and automated way for users to log exercise data, requiring manual recording and relying on memory or notebooks, which is tedious and incomplete, especially since many machines do not have power sources or communication interfaces to send data to personal devices.
Innovation Solution
A device with sensors, such as cameras and motion sensors, that can automatically log exercise data by identifying weights and tracking repetitions, and communicate with personal devices or cloud platforms, enabling seamless data capture and storage for various types of exercises.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual recording methods (notebook and pen) are used to log exercise data, then users can track their workouts, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent replaces the mechanical manual recording system (notebook and pen) with an automated electronic system consisting of sensors, processors, and display devices. The sensor detects exercise parameters automatically, the processor analyzes the data, and the display presents results to the user, eliminating the need for manual writing and significantly reducing time spent on data logging.
Solution Approach 2:
The system enables self-service by automatically detecting and recording exercise data without requiring user intervention. The sensor continuously monitors exercise parameters, the processor automatically logs the data, and the system manages the entire recording process independently, freeing the user from manual data entry tasks.
2Extent of automation
If wearable fitness tracker devices are used to detect exercise activities, then some exercise data can be automatically captured, but only a few types of exercises are detected and partial information is provided
Solution Approach 1:
The patent creates a universal exercise tracking system that can handle multiple types of exercises through a single device. The sensor is designed to detect various exercise parameters (repetitions, weight, time) across different exercise modalities, making the system adaptable to both weight training and cardiovascular exercises, thereby increasing versatility while maintaining automation.
Solution Approach 2:
The system adapts to different exercise types by changing detection parameters dynamically. The sensor adjusts its measurement focus based on the detected exercise activity, modifying which parameters are prioritized (e.g., repetition count for weight training versus speed for cardio), enabling versatile exercise tracking without sacrificing automation.
3Adaptability or versatility
If conventional workout machines from different manufacturers are used, then users have access to various exercise equipment, but the machines lack power sources and communication interfaces to send exercise data to personal devices
Solution Approach 1:
The patent introduces an intermediary sensor device that bridges the gap between conventional workout machines and personal devices. The sensor acts as a mediator by detecting exercise data directly from the machine's mechanical movements and transmitting this information wirelessly to the user's personal device, enabling automated data transmission without requiring modifications to the original machines.
Solution Approach 2:
The system segments the data collection function from the workout machine itself. Instead of requiring the machine to have integrated electronics and communication capabilities, the patent separates the sensing function into an independent external device that attaches to or near the machine, allowing compatibility with various manufacturers' equipment while providing automated data capture.
Data Source
AI summary
A device for logging exercise data, the device includes a body for engaging with an exercise machine; an electrical system with a power source incorporated into the body and to record data; an image sensor incorporated into the body and to capture an image; a motion sensor incorporated into the body and to detect movement; the image sensor determines a weight load associated with the exercise machine; the motion sensor detects and records a number of repetitions of movement; and the device creates an exercise log associated with a user's workout.