Wearable Sensor Recommendations for Context-Aware User State Detection
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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 for remote data collection and analysis by a computing device to provide targeted recommendations.
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 articles of clothing with embedded sensors that collect user activity data, and a computing device that processes the data and generates recommendations. This segmentation allows the sensing function to be distributed, improving detection capability while managing complexity across separate system components.
Solution Approach 2:
The wearable articles of clothing act as an intermediary between the user and the computing device. The sensors in the clothing capture user activity data and transmit it to the computing device, which then processes the information and provides recommendations. This intermediary approach enables remote data collection without requiring the computing device to be directly interacted with.
2Adaptability or versatility
If the computing device is not in use by the user, then device availability for other tasks is improved, but sensor data collection capability is worsened
Solution Approach 1:
The wearable articles of clothing with embedded sensors perform data collection autonomously without requiring user interaction with the computing device. The sensors continuously monitor user activity, environment, and body state, and automatically transmit this data to the computing device for processing and recommendation generation, enabling the system to function even when the device is not in use.
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.


