Wearable Impact Detection via Multi-Sensor Segmentation
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Solution Overview
Problem
Wearable electronic devices are limited in accurately detecting impacts, especially those affecting the head or neck, as they lack the necessary components and functionalities to confidently determine threshold motions or accelerations indicative of injuries.
Innovation Solution
A portable impact detection system comprising a head-mountable device with a motion sensor and a wearable electronic device that communicate motion data to accurately determine if a user has experienced a threshold motion or acceleration, potentially indicative of an injury, by using multiple devices with sensors to provide multiple data sources and increase accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wearable electronic device is used to detect impact events, then the device can detect motion at the user's wrist, but the device is limited to information at that location and cannot accurately detect head or neck impacts
Solution Approach 1:
The impact detection system is divided into multiple independent wearable devices, each equipped with its own motion sensor. One device is worn on the wrist while another is worn on the head, allowing each device to independently detect motion at its specific location. This segmentation enables comprehensive coverage of different body parts without requiring a single complex device.
Solution Approach 2:
Multiple wearable devices are utilized to serve different detection functions. The wrist-worn device monitors wrist motion while the head-worn device monitors head motion, making the system universally applicable to detecting impacts at various locations on the body. Each device performs the same basic motion detection function but at different anatomical positions.
2Reliability
If a single wearable device is used to detect motion, then the device structure remains simple, but the system lacks sufficient data sources to confidently determine threshold motions
Solution Approach 1:
The system segments the detection task across multiple independent devices, each collecting motion data at its own location. This segmentation provides multiple independent data sources that can be processed together to determine whether a threshold motion event occurred, significantly improving detection confidence and reliability.
Solution Approach 2:
Motion data from multiple wearable devices is merged and processed by a central processor to determine impact events. The system combines information from the wrist device and head device to make a comprehensive assessment of whether a threshold motion has occurred, leveraging the strengths of multiple data sources.
3Measurement precision
If multiple motion sensors are used to detect threshold motions, then the accuracy of impact detection improves, but the device complexity and number of components increases
Solution Approach 1:
Instead of using multiple sensors within a single complex device, the system segments the sensing function across multiple simple wearable devices. Each device contains a single motion sensor, and the complexity is distributed rather than concentrated, making the overall system more manageable while maintaining high measurement precision.
Solution Approach 2:
A central processor acts as an intermediary that receives motion data from multiple wearable devices and processes this information to determine threshold motion events. This intermediary approach allows multiple sensors to work together without requiring each individual device to be complex, as the processing function is centralized.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances the accuracy of impact event detection by correlating motion data from multiple devices, reducing false determinations and enabling timely alerts and emergency responses for potential injuries.
Implementation Method 1
a first motion sensor to gather first motion data associated with the portable impact detection device
Data Source
AI summary
A impact detection system can include an earbud having a first motion sensor and a wearable electronic device in electrical communication with the earbud and comprising a second motion sensor electrically connected to a processor. The processor can determine if a threshold event has occurred based on a first motion detected by the first motion sensor and a second motion detected by the second motion sensor.