Adaptive Bed-to-Door Time Prediction for On-Time Wake-Up

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Solution Overview

Problem

Individuals often face difficulties in scheduling their day to arrive on time for appointments due to challenges in accurately predicting and managing their bed-to-door and travel times.

Innovation Solution

A computing system processes user inputs to predict bed-to-door and travel times, determining a wake-up time that allows users to arrive at appointments on schedule by subtracting these times from the appointment time and setting an alarm accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a user manually schedules their day to arrive at appointments on time, then they can control their timing, but it becomes difficult to accurately predict and manage bed-to-door and travel times

Engineering Contradiction:

Improveprediction accuracy of bed-to-door timeVSAvoidscheduling complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically calculates bed-to-door time by detecting when the user wakes up (via motion sensors or alarm interaction) and when they leave the sleeping location (via GPS or location services), eliminating the need for manual time tracking and providing precise predictions without user effort

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors actual wake-up times and departure times, compares them with predicted times, and uses this feedback to refine and improve the accuracy of future bed-to-door time predictions through adaptive learning algorithms

Inventive Principle:

Principle #23Feedback

2Reliability

If the system automatically determines wake-up time based on predicted bed-to-door time, then timely arrival at appointments is ensured, but the system requires processing multiple user inputs and predictions

Engineering Contradiction:

Improvetimely arrival guaranteeVSAvoidsystem processing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary calculations of bed-to-door time and travel time before the appointment occurs, determining the optimal wake-up time in advance and setting the alarm accordingly, so that when the alarm sounds, the user is already on track for timely arrival without requiring complex real-time decisions

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system combines multiple data sources including wake-up detection sensors, location tracking, calendar appointment data, and traffic information into a unified wake-up time calculation, simplifying the overall process by integrating these elements rather than handling them separately

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS10108150B1Waking user up in time to arrive at appointment by calculating bed-to-door time

Publication Date: 2018.10.23 GOOGLE LLC

AI summary

A computing system may process previous inputs from a user into at least one electronic device, the previous inputs including at least a first input indicating that the user has woken up and a second input indicating that the user has left a sleeping location. The computing system may predict a bed-to-door time duration between the user waking up and the user leaving the sleeping location based on the first input indicating that the user has woken up and the second input indicating that the user has left the sleeping location. The computing system may determine a wakeup time for the user based on the predicted bed-to-door time duration and a time at which the user should leave the sleeping location to arrive at the appointment on time. The computing system may cause the at least one electronic device to output an alarm at the determined wakeup time.