Wearable Visual Feedback Field of View
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Solution Overview
Problem
Current wearable devices for lifelogging lack the capability to enhance user interaction with their environment through advanced functionality based on image data analysis, such as navigation, object identification, and feedback, due to limitations in size and design.
Innovation Solution
A wearable apparatus equipped with an image sensor and processing device that captures and analyzes images to detect persons, identify attributes, select categories, and execute actions, such as updating profiles or providing recommendations, based on the presence or visibility of individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable devices are made small and light for easy wearing, then ease of operation is improved, but device functionality is limited
Solution Approach 1:
The system segments functionality between the wearable apparatus (image capture and basic processing) and remote computing devices (advanced analysis and action execution). This allows the wearable to remain compact while accessing sophisticated functionality through wireless connectivity to smartphones, tablets, or servers.
Solution Approach 2:
The wearable apparatus is designed with multi-functionality by integrating image sensing, processing capabilities, wireless communication, and the ability to execute diverse actions (capturing images, providing feedback, navigating, identifying objects) within a single compact device that can connect to various computing platforms.
2Adaptability or versatility
If advanced image analysis functionality is added to wearable devices, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system divides image analysis tasks between the wearable apparatus (initial capture and basic processing) and remote computing devices (advanced analysis). The wearable includes processing circuitry for basic operations while leveraging the computational power of connected devices for sophisticated image analysis, thereby managing complexity.
Solution Approach 2:
Wireless communication acts as an intermediary between the wearable apparatus and remote computing devices, enabling the transfer of image data and processing results. This intermediary allows the wearable to access advanced functionality without incorporating all processing components locally, thus managing device complexity.
3Speed
If real-time image processing is implemented, then speed of feedback is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic action by capturing images at specific intervals or triggered by events rather than continuous processing. The wearable apparatus captures images based on detected triggers (such as hand-related triggers) and processes them periodically, reducing energy consumption compared to continuous real-time processing while still providing timely feedback.
Solution Approach 2:
The processing workload is segmented between the wearable apparatus (initial capture and basic processing) and remote computing devices (advanced analysis). This segmentation allows real-time feedback for basic functions while energy-intensive advanced processing occurs remotely, balancing speed and energy consumption.
Data Source
AI summary
A wearable apparatus may include at least one image sensor configured to capture a plurality of images from an environment of a user of the wearable apparatus and at least one projector. The at least one light projector may be configured to emit a light pattern configured to visually indicate to the user of the wearable apparatus an active field of view of the at least one image sensor.