Wearable Sensor Array for Safety Event Anticipation
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Solution Overview
Problem
Traditional alert devices fail to provide sufficient detail on a user's status, often send false alarms, miss identifying actual safety events, and do not anticipate or prevent safety events from occurring, due to limitations in sensor accuracy and integration of data from movement, physiological, and environmental sensors.
Innovation Solution
An electronic device equipped with an integrated sensor array that includes movement, physiological, and environmental sensors, processing logic to analyze measurement information, and send alerts or recommendations to users or caregivers, anticipating and minimizing safety events by reducing erroneous identifications and improving sensor accuracy through optimal placement and data integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional alert devices use simple sensors to monitor users, then device complexity is reduced, but measurement precision and reliability deteriorate due to insufficient sensor accuracy and data integration
Solution Approach 1:
The patent combines multiple sensor types (movement sensors, physiological sensors, environmental sensors, location sensors) into an integrated sensor array within a single wearable device. This merging approach improves measurement precision and reliability by collecting comprehensive data from multiple sources while maintaining device portability and user convenience.
Solution Approach 2:
The wearable device performs multiple functions including monitoring movement, physiological parameters, environmental conditions, and location simultaneously. This multi-functionality allows the device to provide comprehensive safety monitoring without requiring multiple separate devices, resolving the contradiction between device complexity and measurement precision.
2Reliability
If traditional alert devices monitor users continuously, then safety supervision is improved, but false alarms increase due to insufficient data analysis capability
Solution Approach 1:
The device incorporates processing logic that continuously analyzes data from multiple sensors and provides feedback to distinguish between actual safety events and normal variations. This feedback mechanism reduces false alarms by cross-validating data from different sensor types and applying contextual analysis before triggering alerts.
Solution Approach 2:
The device establishes baseline profiles of normal user behavior and physiological patterns in advance. By comparing real-time sensor data against these pre-established baselines, the system can identify genuine safety events more accurately and reduce false alarms caused by atypical but normal variations.
3Loss of time
If traditional alert devices react to safety events after they occur, then response time is simplified, but the ability to anticipate and prevent safety events is lost
Solution Approach 1:
The processing logic analyzes patterns in sensor data to identify early warning signs of potential safety events before they occur. By detecting trends and anomalies in movement patterns, physiological parameters, or environmental conditions, the device can alert users in advance to take preventive actions, transforming the system from reactive to proactive safety monitoring.
Data Source
AI summary
A method, system, apparatus, and/or device that may include: a first sensor operable to take a first physiological measurement; a second sensor operable to take a second physiological measurement; and a processing device operatively coupled to the first sensor and the second sensor. The processing device may be operable to: receive a first measurement data for the first physiological measurement; receive a second measurement data for the second physiological measurement; generate an event data set based on the first measurement data with the second measurement data; determine an event occurred based on the event data set; determine a type of the event; and in response to the event being a safety event: determine a type of the safety event; identify a risk level of the safety event; and in response to the risk level exceeding a threshold level, notify a second device of the safety event.