Integrated Sensor Framework for Multi-Device Environment Mapping
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Solution Overview
Problem
Existing systems fail to effectively integrate and utilize sensor data from multiple devices to provide an interactive environmental representation to users, assist with spoken requests, and facilitate user-device interactions within an environment, while preserving user privacy.
Innovation Solution
An integrated sensor framework that receives and processes sensor data from multiple devices to build an environmental representation, identify movement and event information, and provide outputs to users based on this data, including responses to spoken requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data from multiple devices is integrated and processed to build environmental representation and provide interactive responses, then user interaction quality and system intelligence are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex task of environmental understanding into distinct modules: sensor data reception from multiple devices, environmental representation building, movement information identification, and event information determination. Each module handles a specific aspect of the processing pipeline, reducing overall system complexity while maintaining comprehensive functionality.
Solution Approach 2:
The patent introduces an intermediary environmental representation layer that acts as a mediator between raw sensor data from multiple devices and the final interactive responses. This representation layer consolidates and structures information from various sources, simplifying the complexity of direct multi-device data integration.
2Loss of information
If comprehensive sensor data from multiple devices is collected and processed, then information completeness and environmental awareness are improved, but data management difficulty and processing time increase
Solution Approach 1:
The system performs preliminary actions by building an environmental representation structure in advance that organizes sensor data from multiple devices into a coherent framework. This pre-structured representation enables faster querying and analysis when movement or event information needs to be identified, reducing processing time for subsequent operations.
Solution Approach 2:
The patent replaces traditional sequential data processing mechanisms with a parallel processing approach where multiple sensor inputs are integrated simultaneously into the environmental representation. This substitution enables comprehensive information collection without linearly increasing processing time.
3Productivity
If the system provides detailed environmental summaries and proactive notifications, then user value and service quality are improved, but computational resources and energy consumption increase
Solution Approach 1:
The system implements feedback mechanisms where the environmental representation is continuously updated and analyzed to generate movement information and event information. This feedback loop enables proactive notifications and historical summaries to be generated only when relevant changes occur in the environment, reducing unnecessary computational resource consumption while maintaining high service quality.
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.