Wearable Computing System Integrating Sensor Data with Calendar Events
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Solution Overview
Problem
Current wearable technology systems lack integration with electronic calendar systems to provide personalized recommendations and actions based on user activity and calendar events, limiting their ability to offer timely and relevant feedback and adjustments.
Innovation Solution
A system and method that couples a computer processor with a user-configurable calendar system and wearable devices to detect user activity events and calendar events, determining a course of action and providing notifications or suggestions to the user, such as dietary advice or travel reminders, by integrating data from wearable sensors and calendar entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wearable devices track user activity data independently without calendar integration, then device complexity is reduced and ease of operation is improved, but the ability to provide personalized recommendations and timely feedback is limited
Solution Approach 1:
The patent introduces a computing device as an intermediary that receives data from both the wearable device and electronic calendar system, processes this data, and generates recommendations. This mediator handles the complex integration logic externally, allowing the wearable device itself to remain relatively simple while still providing personalized recommendations through the combined analysis of activity data and calendar events.
2Loss of information
If wearable devices collect and analyze user data in real-time without external system integration, then response speed is improved, but the relevance and personalization of feedback is reduced
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing user activity data from the wearable device and calendar event data from the electronic calendar system in advance. This pre-processing and data accumulation allows the computing device to quickly generate relevant recommendations when needed, without requiring real-time analysis that would cause delays, thus maintaining both completeness and timeliness.
3Measurement precision
If the system integrates multiple data sources (wearable sensors and calendar entries) for comprehensive analysis, then measurement precision and recommendation accuracy are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the system into distinct functional components: the wearable device for collecting activity data, the electronic calendar system for storing event information, and a separate computing device for data integration and analysis. This segmentation allows each component to specialize in specific tasks, improving measurement precision through dedicated sensors and databases while managing complexity by distributing processing responsibilities across multiple independent systems.
Data Source
AI summary
A system and method for analyzing wearable sensor data in reconciliation with calendar entry data. A computer processor is coupled to a user configurable calendar system and a user wearable device. The processor detects one or more user activity events from one or more electronic wearable devices associated with the user and detects one or more user calendar events from a user configurable calendar system. The processor is configured to determine a course of action to be taken by the user based upon the one or more calendar events and the detected one or more user events.