Fall Detection in Electronic Caregiving Systems

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Solution Overview

Problem

Current personal emergency response systems (PERS) lack robust communication methods, advanced sensing capabilities, comprehensive analytical tools, and clinically useful feedback, failing to provide effective monitoring and early warning for health issues and emergencies.

Innovation Solution

A comprehensive electronic caregiving system that integrates sensing devices, user interaction, and an automated backend process using the Electronic Caregiver Optimum Recognition Blueprint (ORB) to monitor health indicators, detect emergencies, and provide alerts and responses through a network of devices and algorithms, including visual recognition hardware and an Electronic Caregiver Image (ECI) for enhanced caregiving support.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a single-button PERS is used, then the device is simple and easy to operate, but it lacks robust communication methods, advanced sensing capabilities, and comprehensive analytical tools

Engineering Contradiction:
Improveease of operationVSAvoidreliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent combines multiple PERS functionalities (single-button emergency alert, fall detection, health monitoring, communication systems, and analytical tools) into an integrated device. This merging allows the system to maintain ease of operation through a simple user interface while incorporating advanced sensing capabilities, robust communication methods, and comprehensive analytical tools that improve reliability and provide clinically useful feedback.

Inventive Principle:
Principle #5Merging (Combining)

2Device complexity

If traditional PERS without fall detection is used, then the device complexity is low, but it cannot detect falls or provide early warning for health issues

Engineering Contradiction:
Improvedevice complexityVSAvoidearly warning capability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system incorporates fall detection algorithms and health monitoring capabilities that continuously analyze sensor data to predict and warn of potential falls or health issues before they occur. The depth camera and accelerometer detect movement patterns indicative of falls, while health sensors monitor vital signs for early warning of medical conditions, enabling preventive action before emergencies develop.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If comprehensive health monitoring and analysis systems are implemented, then early warning and intervention capabilities are improved, but the system complexity and cost increase

Engineering Contradiction:
Improveearly warning capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent designs a universal PERS device that performs multiple functions: emergency alerting, fall detection, health monitoring, communication, and analytical processing. This multi-functionality allows the system to provide comprehensive early warning capabilities and clinically useful feedback without requiring separate specialized devices, thereby managing system complexity while improving reliability and early intervention potential.

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

Data Source

PatentUS12011259B2Systems and methods for fall detection
Publication Date: 2024.06.18 ELECTRONIC CAREGIVER INC
  • US12011259B2 patent drawing
  • US12011259B2 patent drawing
  • US12011259B2 patent drawing

AI summary

A system for monitoring and detecting the gait and other health related parameters of a user. One such parameter is monitoring of medication compliance and treatment session attendance done by a medication and liquid dispensing apparatus, which combines mechanical dispensing of medication. These parameters are provided in standard of care summaries to care providers, and are continually reported by the Optimum Recognition Blueprint as Standard of Care Summaries to care providers, as well as communicated to the end-user by the Virtual Caregiver Interface.