Wearable Sensor Recommendations for Passive User State Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile communication devices struggle to detect user activities and environment when not in use, limiting their ability to provide context-aware recommendations due to reliance on user interaction for sensor data collection.
Innovation Solution
Embedding sensors in articles of clothing and accessories that can detect user activity, environment, and body state, allowing data to be received by a computing device for analysis and recommendation generation, even when the device is not in use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If sensors are embedded in wearable articles of clothing, then user activity detection capability is improved, but device complexity is increased
Solution Approach 1:
The system divides the sensing function into two separate components: wearable sensors embedded in articles of clothing that detect user activity, and a computing device that receives and processes the sensor data. This segmentation allows the sensing function to be distributed, improving detection capability while managing complexity across separate system components.
Solution Approach 2:
The patent introduces a computing device as an intermediary between the wearable sensors and the recommendation system. The computing device receives sensor data from the wearable article, processes it, and generates recommendations. This intermediary handles the complex data processing and analysis, keeping the wearable article itself relatively simple while achieving sophisticated activity detection and recommendation capabilities.
2Productivity
If the mobile device is not in use by the user, then the device can process data and provide recommendations, but the device cannot detect user activities
Solution Approach 1:
The system separates the detection function from the processing function. Wearable sensors continuously detect user activity and transmit data to the computing device, which processes the information and generates recommendations even when not actively used by the user. This segmentation enables continuous detection capability independent of device usage status.
Solution Approach 2:
The wearable article of clothing with embedded sensors autonomously performs the detection function, continuously monitoring user activity without requiring the user to interact with the mobile device. The sensors self-service the data collection, transmitting information to the computing device which then autonomously processes the data and generates recommendations, eliminating the need for active device usage for detection.
Data Source
AI summary
Apparatus and method for providing contextual recommendations based on user state are disclosed herein. In some embodiments, sensor data corresponding to at least one sensor included in an item worn by a user is received. A user state is determined based on the received sensor data. In response to a state change being satisfied by at least the user state, a recommendation is determined based on the user state and a profile associated with the user. The recommendation may be presented on an electronic mobile device associated with the user.