Wearable Device Emergency Detection via Multi-Sensor Fusion
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Solution Overview
Problem
Existing wearable devices lack the capability to effectively monitor and respond to emergency states of users, such as falls or changes in consciousness, in a timely and comprehensive manner.
Innovation Solution
A wearable device equipped with a temperature sensor, pupil recognition sensor, brainwave sensor, camera, and communication circuitry, which can detect emergency states by analyzing temperature data, conscious state information, and visual content, and subsequently transmit alerts and data to other devices and external services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors (temperature, pupil recognition, brainwave) and cameras are integrated into the wearable device to comprehensively monitor user state, then the capability to detect emergency states is improved, but the device complexity increases
Solution Approach 1:
The patent divides the monitoring function into multiple specialized sensors (temperature sensor for thermal state, pupil recognition sensor for consciousness level, brainwave sensor for neurological state) and segments the emergency detection algorithm into distinct modules that process each sensor type independently before integrating results. This segmentation allows comprehensive monitoring while managing complexity through modular architecture.
Solution Approach 2:
The wearable device is designed as a multi-functional system where a single device integrates diverse sensor types (temperature, pupil recognition, brainwave, camera) and multiple monitoring capabilities (emergency state detection, consciousness assessment, environmental monitoring). This multi-functionality consolidates what would otherwise require multiple separate devices into one unified system, improving detection capability while avoiding the complexity of coordinating multiple independent devices.
2Measurement precision
If the wearable device continuously monitors multiple parameters (temperature, pupil response, brainwave, visual content) to accurately identify emergency states, then the measurement precision is improved, but the energy consumption increases
Solution Approach 1:
The patent implements periodic monitoring with adaptive intervals. The system continuously monitors temperature but uses periodic sampling for more demanding sensors like brainwave and pupil recognition. The monitoring frequency is dynamically adjusted based on detected anomalies - normal state uses lower frequency sampling while emergency states trigger continuous high-precision monitoring. This periodic action with variable frequency maintains measurement precision when needed while significantly reducing average energy consumption.
Solution Approach 2:
The system employs feedback mechanisms where sensor data is continuously analyzed and used to adjust monitoring intensity. When parameters indicate normal user state, the system reduces monitoring frequency to conserve energy. When anomalies are detected (e.g., temperature deviations, abnormal pupil responses, or brainwave patterns), the system increases monitoring precision and frequency. This feedback-driven adaptive monitoring maintains high measurement precision for emergency detection while minimizing energy consumption during normal operation.
3Loss of information
If the wearable device processes and stores extensive data (video content, biometric data, temporal information) to provide comprehensive emergency response information, then the information availability for emergency response is improved, but the data processing requirements and storage needs increase
Solution Approach 1:
The patent extracts and prioritizes only the most critical information elements for emergency response. From the comprehensive sensor data, the system identifies and stores key parameters (temperature values, pupil response patterns, brainwave anomalies, timestamp information) while discarding redundant or less critical data. The camera captures video content but processes and stores only relevant segments rather than continuous footage. This extraction approach ensures essential information is available for emergency response while significantly reducing overall data processing and storage requirements.
Solution Approach 2:
The system performs preliminary data processing and filtering locally in the wearable device before transmitting to external systems. Critical parameters are pre-identified and packaged with emergency alerts, while raw data is retained only temporarily. This preliminary action ensures that when emergency response is needed, the most important information is already prepared and transmitted immediately, reducing the burden on external systems and minimizing data processing complexity at the time of emergency response.
4Speed
If the wearable device activates multiple sensors and cameras continuously to monitor user state in real-time, then the response speed to emergency states is improved, but the energy consumption increases
Solution Approach 1:
The patent implements dynamic sensor activation where the monitoring intensity is adjusted in real-time based on detected user state. During normal conditions, the system uses low-power periodic sampling. When anomalies are detected (temperature outliers, abnormal vital signs, or changes in pupil response/brainwave patterns), the system dynamically transitions to continuous high-speed monitoring mode. This dynamic adjustment maintains rapid emergency response capability when needed while minimizing energy consumption during stable periods.
Solution Approach 2:
The system uses feedback from sensor data to control the activation state of monitoring functions. Normal physiological parameters trigger low-power monitoring mode, while deviations from normal ranges activate enhanced monitoring. The feedback loop continuously assesses sensor output and adjusts monitoring intensity accordingly, ensuring fast response to genuine emergencies while avoiding continuous high-energy operation during normal states.
Data Source
AI summary
A wearable device is provided. The wearable device includes a temperature sensor, a pupil recognition sensor, a brainwave sensor, a camera, memory storing one or more computer programs, communication circuitry, and one or more processors communicatively coupled to the temperature sensor, the pupil recognition sensor, the brainwave sensor, the camera, the communication circuitry and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the wearable device to obtain, through the temperature sensor, first data representing a temperature associated with a head of a user, contacted with the wearable device, recognize, based on the first data representing the temperature within a first reference range, a state of the user as an emergency state, based on recognizing the state of the user as the emergency state, store, in the memory, first content obtained from a second timing which is before predefined time from a first timing in which the state of the user is recognized as the emergency state through the camera, to a third timing after the predefined time from the first timing and information on a conscious state of the user obtained from the first timing to the third timing using the pupil recognition sensor or the brainwave sensor activated in response to the recognition of the emergency state, transmit, to a second wearable device contacted with a wrist, a first request to obtain second data associated with a heart rate of the user, transmit, to a first external electronic device, a second request to transmit information representing the emergency state of the user and the information on the conscious state of the user to a second external electronic device, based on the first data representing the temperature within a second reference range distinct from the first reference range, recognize the state of the user as a danger monitoring state, and based on recognizing the state of the user as the danger monitoring state, store, in the memory, second content obtained from a fourth timing in which the state of the user is recognized as the danger monitoring state through the camera, to a fifth timing after the predefined time from the fourth timing, provide information that warns of possible danger, transmit, to the second wearable device, the first request, receive, from the second wearable device, the second data in response to the first request, and identify, using the first data and the second data, whether the state of the user is changed from the danger monitoring state to the emergency state.