Headset Context Detection via External Device State
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Solution Overview
Problem
Existing electronic devices with near-eye displays struggle to efficiently determine contextual information in complex environments, often requiring high processing power and uncertainty in sensor data analysis.
Innovation Solution
The electronic device incorporates sensors, communication circuitry, and processors to obtain sensor data, analyze it to detect external devices, and receive state information from these devices, allowing for accurate contextual determination and content presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data analysis is used to detect external devices and determine contextual information, then measurement precision and reliability are improved, but use of energy and processing power increase
Solution Approach 1:
The system segments the information gathering process into two distinct paths: receiving state information directly from external devices (low-power path) and analyzing sensor data (high-power path). This segmentation allows the device to choose the appropriate path based on available information quality, thereby reducing overall energy consumption while maintaining accuracy when possible.
Solution Approach 2:
State information from external devices acts as an intermediary that provides pre-processed contextual information. Instead of directly analyzing raw sensor data (which requires high processing power), the system first obtains this intermediary state information, which can then be used to guide or replace more intensive sensor analysis, thus reducing energy consumption.
2Reliability
If sensor data analysis is performed to determine contextual information, then reliability of information is improved, but processing time increases
Solution Approach 1:
External devices perform preliminary action by pre-processing and transmitting their state information in advance. This allows the head-mounted device to obtain ready-made contextual information without performing the full analysis itself, significantly reducing processing time while maintaining reliability through the use of authoritative source data.
Solution Approach 2:
The system uses partial action by selectively analyzing only the necessary portion of sensor data after receiving state information. Instead of performing complete sensor data analysis in all cases, the system analyzes only what is needed to complement or verify the received state information, reducing overall processing time while maintaining sufficient reliability.
3Device complexity
If state information is received from external devices, then device complexity is reduced, but adaptability decreases when state information is insufficient
Solution Approach 1:
The system dynamically adjusts its information gathering strategy based on the sufficiency of received state information. When state information is sufficient, the system uses the simpler direct reception path. When state information is insufficient, the system dynamically transitions to sensor data analysis, thereby adapting its complexity to the situation while maintaining versatile contextual determination capability.
Solution Approach 2:
The system uses feedback from the sufficiency evaluation of received state information to control the subsequent processing path. This feedback mechanism allows the system to automatically adjust its behavior - using simple state information processing when adequate and switching to more complex sensor analysis when needed - thus maintaining both low complexity when possible and high adaptability when required.
Data Source
AI summary
A head-mounted device may determine contextual information by analyzing sensor data. The head-mounted device may use computer vision analysis to determine contextual information from images of the physical environment around the head-mounted device. Instead or in addition, the head-mounted device may determine contextual information by receiving state information directly from external equipment within the physical environment. Based on the received state information, the head-mounted device may display content, play audio, change a device setting on the head-mounted device, the external equipment, and/or additional external equipment, and/or may open an application. The head-mounted device may receive the state information in accordance with identifying the external equipment in images of the physical environment. The head-mounted device may receive the state information and then obtain and analyze sensor data to determine contextual information in response to the received state information being insufficient.