Footstep Pattern Sensor for Automatic Device Control

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Solution Overview

Problem

There is a need for technologies that can automatically control electronic devices based on a user's footstep pattern to minimize user interaction and efficiently manage device settings, while also detecting intruders and managing conflicts in device control preferences.

Innovation Solution

A system that uses sensors to detect footstep patterns and weights, identifying registered users and controlling associated electronic devices based on stored control information, and can detect intruders by comparing sensed footstep information with registered patterns, with priority management for conflict resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If footstep pattern recognition is used to identify users and automatically control devices, then user interaction is minimized and automation is improved, but system complexity increases due to sensor integration and pattern matching requirements

Engineering Contradiction:
Improveautomatic device controlVSAvoidsensor integration complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The sensor system is designed to perform multiple functions: detecting footstep patterns for user identification, measuring weight for authentication, and triggering automated device control. This multi-functionality reduces the need for separate systems while achieving high automation levels.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system automatically identifies users based on their footstep patterns and weight, then autonomously controls electronic devices without requiring manual input. The sensor network and control system work together to provide self-service automation throughout the process.

Inventive Principle:
Principle #25Self-service

2Reliability

If footstep pattern and weight sensing is implemented for user identification, then security is improved through biometric authentication, but measurement precision requirements increase for accurate pattern recognition

Engineering Contradiction:
Improveuser identification accuracyVSAvoidfootstep pattern detection precision
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The sensor system acts as an intermediary that captures footstep patterns and weight data, then processes this information through pattern matching algorithms to identify users. This intermediary layer transforms raw sensor data into reliable identification information.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system monitors multiple parameters simultaneously (footstep pattern, weight, timing) and uses their combined analysis to improve identification reliability. By changing and monitoring multiple parameters rather than relying on a single measurement, the system achieves higher accuracy.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If multiple registered members are supported with individual control preferences, then adaptability is improved for different users, but device complexity increases for managing multiple control profiles and conflict resolution

Engineering Contradiction:
Improvemulti-user control customizationVSAvoidcontrol profile management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The control system is segmented into separate profiles for different registered members, each with their own control preferences and authorized devices. This segmentation allows the system to adapt to multiple users while managing complexity through modular profile management.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system includes feedback mechanisms that monitor which members are present and active, automatically adjusting device control based on the current user context. This feedback loop helps manage multiple profiles by dynamically activating only the relevant control set for the current situation.

Inventive Principle:
Principle #23Feedback

4Reliability

If intruder detection is added to the footstep sensing system, then security is improved through intrusion detection, but false detection risk increases that may lead to incorrect intruder identification

Engineering Contradiction:
Improveintruder detection capabilityVSAvoidintruder identification accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The sensor system serves as an intermediary that collects footstep and weight data, then compares this information against registered member profiles to determine whether an intruder is present. This intermediary comparison process helps distinguish between authorized and unauthorized users.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system monitors multiple parameters (footstep pattern, weight, timing) and uses deviations from registered profiles to identify potential intruders. By analyzing multiple parameters simultaneously, the system reduces false detections while maintaining reliable intruder detection capability.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10203669B2Controlling electronic devices based on footstep pattern
Publication Date: 2019.02.12 KT CORP
  • US10203669B2 patent drawing
  • US10203669B2 patent drawing
  • US10203669B2 patent drawing

AI summary

The disclosure is related to controlling electronic devices in a target control area based on a footstep pattern of a registered member. Such controlling may be performed through identifying a person detected by a sensor based on footstep information received from the sensor, obtaining control information associated with the identified registered member, and controlling target devices in the target control area based on the obtained control information.