Wearable AI Coaching for Context-Based Activity Guidance

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Solution Overview

Problem

Existing AI technologies are inconveniently accessible and limit user experiences to siloed interactions, requiring significant user effort for engagement.

Innovation Solution

A wearable device with integrated AI agents provides context-based guidance and recommended actions through sensors and processors, generating orchestrated guidance for activities based on user interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If AI is accessed through websites or internet search, then AI generated content can be obtained, but user experience is limited to siloed interactions and user burden is high

Engineering Contradiction:

ImproveAI accessibilityVSAvoidUser experience quality

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent introduces wearable devices as intermediary platforms that bridge the gap between users and AI capabilities. The wearable device acts as a mediator, providing AI functionality directly in the user's environment without requiring users to navigate to websites or perform manual searches, thus improving ease of operation while maintaining adaptable AI responses

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments AI functionality into distributed components - with AI agents operating autonomously on the wearable device and additional processing occurring in the cloud. This segmentation allows the wearable device to provide immediate, context-aware responses while leveraging comprehensive AI capabilities from remote servers, resolving the contradiction between accessibility and adaptability

Inventive Principle:

Principle #1Segmentation

2Productivity

If AI interactions require manual access through websites, then AI content can be generated, but user effort and time for engagement increases

Engineering Contradiction:

ImproveAI content generationVSAvoidUser engagement time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by having AI agents continuously monitor sensor data from the wearable device in advance, preparing context-based responses before the user needs them. When trigger conditions are met, the AI agent can immediately provide relevant guidance without requiring the user to initiate a search or navigate to a website, thus reducing engagement time while maintaining high productivity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The AI system provides self-service functionality by autonomously detecting when user assistance is needed through sensor data analysis and automatically initiating appropriate responses. The wearable device self-manages the AI interaction lifecycle, eliminating the need for users to manually access AI services and reducing both time loss and user effort

Inventive Principle:

Principle #25Self-service

3Ease of operation

If AI is integrated into wearable devices, then seamless personalized interactions are achieved, but device complexity increases

Engineering Contradiction:

ImproveAI interaction seamlessVSAvoidWearable device structure

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The wearable device leverages its existing multi-functional capabilities - using its sensors for both fitness tracking and AI context detection, its display for both workout information and AI responses, and its processor for both workout guidance and AI agent execution. This universality allows AI integration without proportionally increasing device complexity, as the same hardware components serve dual purposes

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Adaptability or versatility

If context-based AI guidance is provided continuously, then personalized activity recommendations improve, but energy consumption increases

Engineering Contradiction:

ImprovePersonalization qualityVSAvoidWearable device power

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system employs periodic action by monitoring sensor data at defined intervals rather than continuously processing all incoming data. The AI agent evaluates trigger conditions periodically, and only activates comprehensive AI analysis when necessary - such as when workout goals are approached, when new environmental conditions are detected, or when user interactions occur. This periodic evaluation maintains personalization quality while significantly reducing energy consumption compared to continuous processing

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20260064345A1Systems and methods of providing personalized activity guidance using an artificial intelligence

Publication Date: 2026.03.05 META PLATFORMS TECHNOLOGIES LLC

AI summary

Systems and methods of providing personalized sports intelligence using an artificial intelligence are disclosed. An example method includes, while a user wearing a head-wearable device is performing a physical activity, obtaining sensor data sensed from the user via one or more sensors, the sensor data including at least biometric data and physical activity data. The method includes, in response to an indication that the user is performing the physical activity, initiating an artificial intelligence (AI) agent. The method also includes determining, based on the sensor data, whether one or more activity-based thresholds are satisfied and, in accordance with a determination that an activity-based threshold is satisfied, generating, by the AI agent, a coaching message to assist the user in performance of the physical activity. The method further includes causing presentation of the coaching message via the head-wearable device.