Smart Athletic Wear Sensor Integration for Real-Time Biometric Monitoring
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Solution Overview
Problem
Athletes face risks from extreme weather conditions and injuries during sports, and traditional sports tracking systems lack real-time data collection and analysis for athlete performance and rule infractions, relying on subjective and delayed manual entry of data.
Innovation Solution
Integration of sensors and cameras into athletic wear, such as garments, helmets, and wristbands, with a processor to analyze data in real-time, providing biometric, biomechanical, and positional data, as well as video capture and medication dispensing capabilities, to monitor athlete conditions and detect rule violations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual data collection methods are used, then device complexity is reduced, but measurement precision and real-time capability deteriorate
Solution Approach 1:
The patent combines multiple sensor types (accelerometers, gyroscopes, heart rate monitors, GPS) into an integrated athletic wear system that works together to collect comprehensive sports data. This merging of sensing functions enables precise measurement of various athletic parameters simultaneously, resolving the contradiction between measurement precision and device complexity by making the complex system operate as a unified whole rather than separate components.
Solution Approach 2:
The athletic wear device performs multiple functions including biometric monitoring, performance tracking, injury prevention, and real-time data transmission all through a single integrated system. This multi-functionality allows the device to provide comprehensive sports data collection and analysis without requiring separate specialized equipment for each measurement type, thereby improving measurement precision while managing device complexity through consolidation.
2Productivity
If real-time sensor data collection is implemented, then productivity and real-time analysis capability improve, but device complexity increases
Solution Approach 1:
The system performs preliminary data processing and analysis directly at the sensor level before transmission to external systems. The athletic wear device pre-processes raw sensor data into meaningful metrics and alerts, enabling real-time productivity while reducing the complexity of downstream processing requirements. This preliminary action allows fast data collection and immediate insights without requiring complex post-processing systems.
Solution Approach 2:
The system implements real-time feedback loops where sensor data is continuously monitored, analyzed, and used to provide immediate recommendations or alerts to athletes and coaches. This feedback mechanism enables high productivity in real-time data collection and analysis, while the automated feedback process manages complexity by using algorithmic decision-making rather than complex manual analysis systems.
3Measurement precision
If multiple sensors and cameras are integrated into athletic wear, then measurement precision and real-time monitoring improve, but ease of operation deteriorates
Solution Approach 1:
The athletic wear system automatically performs data collection, processing, and analysis without requiring user intervention. The sensors continuously monitor athletic performance parameters, and the system self-manages data transmission and storage. This self-service capability maintains high measurement precision through continuous automated monitoring while preserving ease of operation by eliminating the need for users to manually configure or operate the complex sensor array.
Solution Approach 2:
The system uses an intermediary processing layer that automatically translates raw sensor data into meaningful insights and recommendations. This intermediary layer acts as a mediator between the complex sensor system and the user, maintaining measurement precision through sophisticated data processing while simplifying operation by presenting information in an intuitive, easily understood format without requiring users to interact with the underlying complexity.
4Reliability
If comprehensive sensor integration is implemented, then reliability of athlete monitoring improves, but device complexity increases
Solution Approach 1:
The monitoring system is divided into specialized sensor modules, each dedicated to specific athletic parameters such as heart rate monitoring, acceleration detection, or GPS tracking. This segmentation allows each sensor type to be optimized for its specific function, improving reliability of athlete safety monitoring while managing overall device complexity by organizing the system into modular, independently manageable components that can be selectively activated based on specific monitoring needs.
Data Source
AI summary
An athletic wear includes at least one of an athlete garment, a helmet, a glove, a wristband, a headband, a mouth guard, and a pad. A plurality of sensors and at least one camera are integrated into the at least one of the athlete garment, the helmet, the glove, the wristband, the headband, the mouth guard, and the pad. A processor is in signal communication with the plurality of sensors and the at least one camera for receiving, analyzing, and transmitting data signals obtained by the plurality of sensors and the at least one camera. The plurality of sensors are configured to obtain a wearer's physiological data, position data and movement data.