Wearable AI Guidance Through Sensor-Based Activity Detection
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Solution Overview
Problem
Existing AI technologies are inconveniently accessible and limit user experiences to siloed interactions, imposing a high burden on users.
Innovation Solution
A wearable device with integrated sensors and AI agents provides context-based guidance and recommended actions through orchestrated guidance, enhancing user interaction by determining activities and presenting tailored recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AI is accessed through websites or internet searches, then AI generated content can be obtained, but user experience is limited to siloed interactions and user burden is high
Solution Approach 1:
The patent merges AI capabilities with wearable devices by integrating sensors, processors, and AI agents directly into the wearable device. This eliminates the need for users to access AI through separate websites or internet searches, creating a unified experience where AI functionality is embedded within the wearable device itself, thereby improving ease of operation while maintaining adaptability through context-aware responses
Solution Approach 2:
The wearable device performs self-service by autonomously collecting sensor data, determining context-based activities, and generating orchestrated guidance without requiring user initiation through websites. The AI agent operates independently to provide relevant responses based on real-time sensor inputs, reducing user burden while maintaining versatile, context-aware interactions
2Productivity
If AI is accessed through websites or internet searches, then AI generated content can be obtained, but user burden for accessing/interacting with AI is high
Solution Approach 1:
The wearable device performs preliminary actions by continuously collecting sensor data and autonomously determining context-based activities before the user needs AI assistance. The AI agent proactively generates orchestrated guidance based on accumulated sensor inputs, eliminating the need for users to manually search for or initiate AI interactions, thereby reducing user interaction time while maintaining high productivity in AI content generation
Solution Approach 2:
The system implements self-service by having the wearable device autonomously manage the AI interaction process. The device collects sensor data, determines activities, and generates guidance without requiring user initiation, thereby eliminating time loss associated with manual AI access while maintaining efficient AI content generation capabilities
Data Source
AI summary
Systems and method of generating orchestrated guidance based on an activity of a user are disclosed. An example method for generating orchestrated guidance based on an activity of a user includes in response to an indication received at a wearable device that an artificial intelligence (AI) agent trigger condition is present, providing an AI agent sensor data obtained by the wearable device. The method includes determining, by the AI agent, a context-based activity based on the sensor data obtained by the wearable device and generating, by the AI agent, orchestrated guidance based on the context-based activity. The orchestrated guidance includes a recommended action for performing the context-based activity. The method also includes presenting the orchestrated guidance at the wearable device.