AI Wake-Up Time Prediction for Smart Device Scheduling

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Solution Overview

Problem

Conventional technologies for providing wake-up and bed time information do not automatically adjust to reflect a user's life pattern, particularly failing to account for weekends, weekdays, and vacation periods, leading to inefficient operation of connected devices.

Innovation Solution

An AI-based apparatus that collects usage information from mobile devices and analyzes user patterns to predict wake-up and bed times, using this data to control peripheral devices and provide power-saving functions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fixed bed time input by user is used, then device operation control is simple, but it cannot reflect user's actual life pattern including weekends and vacations

Engineering Contradiction:
Improveadaptability to user life patternVSAvoidcomplexity of time setting
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically extracts usage information from mobile devices, analyzes life patterns, and predicts wake-up and bed times without requiring user intervention for time setting. The processor autonomously performs data collection, pattern recognition, and time prediction, allowing the system to self-adjust to user habits including weekends and vacations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors usage information from mobile devices and peripheral devices, analyzes the data to identify life patterns, and adjusts predicted wake-up and bed times based on observed behavior. This feedback loop enables the system to adapt to changing user schedules and preferences over time.

Inventive Principle:
Principle #23Feedback

2Productivity

If manual bed time input is used, then power consumption is reduced by simple control, but device operations do not optimize based on actual usage patterns

Engineering Contradiction:
Improveefficiency of device operationVSAvoidtime for data collection and analysis
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system collects usage information from mobile devices and peripheral devices in advance, analyzes life patterns before determining optimal wake-up and bed times. By performing data collection and analysis proactively, the system prepares optimized schedules ahead of time, enabling efficient device operations without causing delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously collects usage information from multiple sources including mobile devices and peripheral devices, maintaining an ongoing analysis of user behavior patterns. This continuous data gathering and analysis ensures that the system always has up-to-date information for optimizing device operations and power management.

Inventive Principle:
Principle #20Continuity of useful action

3Ease of operation

If fixed wake-up time is set, then alarm function is simple, but it does not provide convenience for varying schedules on weekends and holidays

Engineering Contradiction:
Improveconvenience of wake-up time adjustmentVSAvoidflexibility for different days
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts wake-up and bed times based on analyzed life patterns, allowing the schedule to change flexibly according to user behavior on different days of the week and types of days (weekdays, weekends, holidays). The processor modifies predicted times in response to observed variations in usage patterns.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system automatically detects variations in user schedules and adjusts wake-up times without requiring manual user input. By monitoring usage information and identifying pattern changes, the system self-adjusts to accommodate varying schedules on weekends and holidays.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11604959B2Artificial intelligence-based apparatus and method for providing wake-up time and bed time information
Publication Date: 2023.03.14 LG ELECTRONICS INC
  • US11604959B2 patent drawing
  • US11604959B2 patent drawing
  • US11604959B2 patent drawing

AI summary

Disclosed herein are an artificial intelligence-based apparatus and method for providing wake-up and bed time information. The artificial intelligence-based apparatus for providing wake-up and bed time information includes a communication unit configured to receive usage information for an electronic device used by a user from the electronic device; a memory configured to store the usage information; and a processor configured to load the usage information from the memory, analyze usage time of the electronic device, extract a life pattern of the user, and predict an average wake-up or bed time of the user based on the life pattern. According to the embodiment of the present invention, it is possible to provide services for tasks which the user needs to do at the wake-up or bed time and provide convenience to the user.