Service Activation Module Using Sensor Data for Automatic Triggering
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Solution Overview
Problem
Conventional smart assistants rely on voice control and manual inputs for activation, which are often slow and inconvenient, leading to unnatural user interactions.
Innovation Solution
A service activation module that uses sensor data from various sensors, such as accelerometers, cameras, and proximity sensors, to detect user behavior and automatically activate services based on predefined rules and machine learning models, allowing for activation without voice commands or manual inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If voice control and manual inputs are used for service activation, then the system can be operated with simple hardware, but the interaction speed and convenience deteriorate
Solution Approach 1:
The patent replaces mechanical input methods (voice commands, manual typing) with an automated sensor-based detection system. The service activation module uses sensors to detect user behavior patterns and automatically triggers services, substituting the mechanical interaction system with an automated detection and activation system that operates without requiring explicit user commands.
Solution Approach 2:
The system enables self-service activation by automatically detecting user intent through sensor data analysis and triggering appropriate services without requiring user initiation. The service activation module monitors sensor inputs, identifies behavioral patterns indicating service need, and autonomously activates services, allowing the system to serve itself rather than requiring explicit user commands.
2Ease of operation
If automated activation based on sensor data is implemented, then service activation convenience improves, but device complexity increases
Solution Approach 1:
The service activation module serves multiple functions: it collects sensor data, processes and analyzes the data to detect user behavior patterns, determines when service activation is needed, and triggers the appropriate services. This multi-functional approach consolidates what could be separate complex systems into a single integrated module, improving convenience while managing complexity through functional integration.
Solution Approach 2:
The patent merges sensor data collection, data processing, behavior pattern recognition, and service activation triggering into a unified service activation module. By combining these previously separate functions into one integrated system, the patent reduces overall system complexity while maintaining the automated convenience benefits.
3Productivity
If conventional voice activation is used, then the system requires minimal processing resources, but user interaction becomes slow and repetitive
Solution Approach 1:
The system continuously collects and processes sensor data in advance, building user behavior profiles and detecting patterns before explicit activation is needed. By performing preliminary data collection and analysis, the system is prepared to instantly activate services when user intent is detected, eliminating the time delay associated with traditional voice wake-words and manual activation sequences.
Data Source
AI summary
Disclosed herein are systems and method for automatic activation of a service on a computing device. In an exemplary aspect, a service activation module may link, using an activation model, user behavioral data to an automated activation of the service based on the detecting a prior activation of the service subsequent to receiving the user behavioral data. The service activation module may receive, at a later time, additional sensor data from a plurality of sensors of a computing device. The service activation module may parse the additional sensor data to generate additional user behavioral data. The service activation module may compute, using the activation model, a degree of similarity between the user behavioral data and the additional user behavioral data, and in response to determining that the degree of similarity is greater than a predetermined threshold value, may automatically activating the service on the computing device.