Integrated Sensor Framework for Multi-Device Data Fusion
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Solution Overview
Problem
Existing systems fail to effectively manage, sort, and compile sensor data from multiple devices for user-friendly utilization while preserving privacy, and do not provide historical summaries or proactive notifications of unusual activity, nor facilitate analyzing and responding to speech requests.
Innovation Solution
An integrated sensor framework that integrates sensor data from multiple devices to build an environmental representation, allowing for interactive user interfaces and assisting with spoken requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data from multiple devices is collected and integrated, then the environmental representation and user experience are improved, but system complexity and data management burden increase
Solution Approach 1:
The patent introduces a sensor framework that acts as an intermediary layer between multiple sensor sources and the application layer. This framework receives sensor data from various devices, performs centralized processing including data fusion, environmental representation building, and event detection, then outputs processed results to applications. This mediator approach resolves the contradiction by centralizing complex data management tasks in a dedicated framework while keeping individual device implementations simple.
Solution Approach 2:
The patent merges multiple sensor data streams from different devices into a unified environmental representation. By combining camera data, microphone data, proximity sensor data, and other sensor inputs into a single coherent model of the physical environment, the system achieves comprehensive environmental awareness without requiring each individual device to independently manage all sensor data, thus reducing overall system complexity.
2Speed
If sensor data is processed in real-time for proactive notifications, then responsiveness to user needs is improved, but computational resources and processing time are consumed
Solution Approach 1:
The patent implements preliminary action by pre-building an environmental representation model from sensor data and pre-defining event detection rules and thresholds. Instead of performing heavy computational analysis when notifications are needed, the system continuously maintains an updated environmental model and pre-identifies patterns of interest. When events occur, the system only needs to compare current sensor readings against pre-established criteria, significantly reducing real-time computational requirements while maintaining fast responsiveness.
3Measurement precision
If detailed sensor data is collected for comprehensive analysis, then measurement precision and event detection accuracy are improved, but user privacy concerns increase
Solution Approach 1:
The patent extracts and processes only the specific sensor data elements necessary for particular event detection tasks, rather than collecting and storing all possible sensor information. The framework selectively processes sensor inputs based on defined event criteria, extracting only relevant information needed for accurate event detection while leaving unnecessary detailed data uncollected or anonymized, thus balancing measurement precision with privacy protection.
Data Source
AI summary
Systems and processes for an integrated sensor framework are provided. For example, a first electronic device receives at least one input including sensor data from a second device. A representation of a physical environment associated with the first electronic device is obtained based on sensor data from the first electronic device and the sensor data from the second device. Movement information corresponding to movement of an object within the physical environment is identified. Event information is determined corresponding to activity within the physical environment, wherein the event information is determined based on the identified movement information and the representation of the physical environment. Accordingly, an output is provided to the user based on the event information.