Smartwatch Multi-Sensor Fusion and Cloud Correlation
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Solution Overview
Problem
Current devices lack the capability to continuously and accurately collect and correlate motion and biometric sensor data from multiple sensors to provide comprehensive feedback and analysis, especially when paired with external devices like smartphones, and fail to effectively identify user activities and medically significant events.
Innovation Solution
A smart watch equipped with motion and biometric sensors, a microcontroller, and a wireless radio that can analyze and correlate data from multiple sensors, switch between operational modes, and transmit data to a cloud server for further analysis, providing continuous data collection and feedback, including health activity monitoring and medically significant event detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to collect motion and biometric data, then measurement precision and data comprehensiveness are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (accelerometer, gyroscope, heart rate sensor, temperature sensor) into a single integrated smartwatch device, merging their functions to collect comprehensive motion and biometric data simultaneously, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The smartwatch is designed as a multi-functional device that performs various functions including motion tracking, heart rate monitoring, temperature sensing, and activity recognition, allowing one device to replace multiple specialized devices while maintaining high measurement precision across all functions
2Loss of information
If continuous sensor data collection is implemented, then data comprehensiveness is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of sensor data rather than truly continuous collection, with the microcontroller configured to read sensor values at specified intervals, thereby maintaining sufficient data comprehensiveness for activity recognition while significantly reducing energy consumption compared to continuous sampling
Solution Approach 2:
The sampling rate and collection frequency are dynamically adjusted based on detected activity levels and user needs, with higher sampling rates during active exercise periods and lower rates during rest periods, optimizing the balance between data comprehensiveness and energy consumption
3Loss of information
If sensor data is correlated with external device activities, then information completeness is improved, but device complexity and synchronization requirements increase
Solution Approach 1:
The system establishes bidirectional communication with paired external devices (smartphones, tablets) where activity data from the external device is fed back to the smartwatch for correlation with sensor data, and sensor data is transmitted to the external device for comprehensive tracking, creating a feedback loop that improves information completeness while managing synchronization through established protocols
Data Source
AI summary
A smart watch described in this document includes hardware and software necessary to obtain motion and sensor data from a user wearing the smart watch. The described smart watch can continuously collect sensor data from the user and combine the sensor data from multiple sensors to enhance the accuracy of the sensor data analysis and provide relevant feedback information to the user. In addition, the described smart watch is capable of pairing with an external personal portable device, such as a smartphone or tablet to correlate the collected sensor data with activities performed by the user on the paired device. The smart device can also transmit data to a cloud server to collect sensor data and correlation analysis data for further analysis and provide statistical analysis of the collected sensor data and correlation analysis data.