Mobile Device Sensor Data Sharing for Motion State Classification
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Solution Overview
Problem
Current systems for tracking and analyzing movement require specialized devices, which are costly and necessitate users to manually activate services, limiting their effectiveness for continuous monitoring and data sharing.
Innovation Solution
Mobile devices can share raw or compressed sensor data from various sensors to determine user movement and activity states, allowing other devices to classify motion and functional states, such as falling or texting while driving, without the need for dedicated hardware or manual activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized devices are used to track and analyze movement, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables mobile devices to serve multiple functions - acting as both the sensing device (collecting sensor data) and the analysis device (processing sensor data to determine motion and functional states). This eliminates the need for specialized separate tracking devices, reducing device complexity and cost while maintaining measurement precision through the use of existing mobile device sensors
Solution Approach 2:
The patent allows another computing device to copy and analyze sensor data from the mobile device. Instead of requiring specialized hardware, the system creates a data copy that can be processed independently, enabling movement tracking functionality without additional specialized devices
2Reliability
If specialized devices with manual activation are used, then ease of operation is reduced, but reliability is improved
Solution Approach 1:
The system automatically collects and transmits sensor data without requiring manual activation by the user. The mobile device continuously monitors sensor data and automatically shares it with other computing devices, eliminating the need for users to push buttons or activate services manually while maintaining reliable data collection for safety monitoring
Solution Approach 2:
The system establishes automatic data sharing and analysis loops where sensor data is continuously collected, transmitted, and analyzed to determine motion and functional states. This continuous feedback mechanism ensures reliable monitoring without requiring manual user intervention, as the system self-regulates the data collection and analysis process
3Productivity
If all sensor data is processed on the mobile device, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent segments the data processing workload between the mobile device and another computing device. The mobile device collects and transmits sensor data, while the other computing device performs the computationally intensive analysis to determine motion and functional states. This segmentation reduces energy consumption on the mobile device while maintaining high processing productivity through distributed computation
Data Source
AI summary
Techniques for mobile devices to subscribe and share raw sensor data are provided. The raw sensor data associated with sensors (e.g., accelerometers, gyroscopes, compasses, pedometers, pressure sensors, audio sensors, light sensors, barometers) of a mobile device can be used to determine the movement or activity of a user. By sharing the raw or compressed sensor data with other computing devices, the other computing devices can determine a motion state based on the sensor data. Additionally, in some instances, the other computing devices can determine a functional state based on the sensor data and the motion state. For example, functional state classification can be associated with each motion state (e.g., driving, walking) by further describing each motion state (e.g., walking on rough terrain, driving while texting).