Touch-Free Medical Device Control Using Depth Sensors and Facial Recognition

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Solution Overview

Problem

In operating rooms, physicians cannot physically access computers due to sterility requirements, necessitating touch-free operation of devices like 3D mapping systems, which existing technologies have not adequately addressed.

Innovation Solution

A system utilizing a depth sensor for movement detection, a foot pedal for gesture validation, and facial recognition to enable authorized users to perform tasks like rotating, zooming, or panning maps without physical contact, combined with voice recognition for additional input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If touch-free operation is implemented using depth sensors and gesture recognition, then ease of operation for sterile physicians is improved, but device complexity increases due to multiple sensors and processing systems

Engineering Contradiction:
Improvetouch-free operationVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces depth sensors, gesture recognition software, and voice recognition systems as intermediary components between the physician and the medical device. These intermediaries translate physiological movements and voice commands into control signals, enabling touch-free operation while isolating the physician from direct contact with the device interface.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical input devices (keyboards, mice, touchscreens) with optical and acoustic sensing systems. Depth sensors capture spatial information, gesture recognition software processes hand movements, and voice recognition systems interpret spoken commands, substituting mechanical interaction with field-based sensing and processing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If multiple filtering mechanisms (foot pedal, facial recognition) are added to ensure authorized control, then reliability of control is improved, but device complexity increases

Engineering Contradiction:
Improveauthorized controlVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements preliminary authentication through facial recognition before allowing gesture control, and requires foot pedal activation as a preliminary action before executing certain commands. These preliminary checks ensure that only authorized users can control the device and prevent unauthorized or accidental operations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates a dynamic, multi-layered authentication system where different levels of verification (facial recognition, foot pedal activation, gesture validation) are applied based on the specific operation being performed. The system adaptively applies appropriate filtering mechanisms to balance security with operational efficiency.

Inventive Principle:
Principle #15Dynamics

3Adaptability or versatility

If gesture recognition and voice recognition are combined for comprehensive control, then versatility of operation is improved, but difficulty of detecting and measuring increases

Engineering Contradiction:
Improveoperation modesVSAvoidgesture and voice detection
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent creates a universal control system that accepts multiple input modalities (hand gestures, voice commands, foot pedal presses) to control the same medical device functions. This multi-functional approach allows physicians to choose the most convenient interaction method for each situation, improving versatility and adaptability.

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

Solution Approach 2:

The patent divides the control system into separate functional modules: depth sensing for gesture detection, voice recognition software for audio input processing, foot pedal detection for tactile input, and a central coordination layer that integrates all inputs. This segmentation allows each component to specialize in detecting its specific input type while the system as a whole achieves comprehensive control capability.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables sterile physicians to operate medical devices without touching them, ensuring secure and efficient control of medical software applications, allowing hands-free navigation and operation of complex systems.

Implementation Method 1

a depth sensor (10) for providing a depth map and detecting a movement

Methodology Applied
Scientific EffectDepth sensing: Time of Flight

Implementation Method 2

filtering out the gesture as not applicable if the detected movement is not performed by a user determined to be authorized using facial recognition

Methodology Applied
Scientific EffectFacial recognition: Image Processing

Data Source

PatentEP2615525B1Touch free operation of devices by use of depth sensors
Publication Date: 2019.05.15 BIOSENSE WEBSTER (ISRAEL) LTD
  • EP2615525B1 patent drawingFigure 1
  • EP2615525B1 patent drawingFigure 2
  • EP2615525B1 patent drawingFigure 3~4

AI summary

An inventive system and method for touch free operation of a device is presented. The system can comprise a depth sensor for detecting a movement, motion software to receive the detected movement from the depth sensor, deduce a gesture based on the detected movement, and filter the gesture to accept an applicable gesture, and client software to receive the applicable gesture at a client computer for performing a task in accordance with client logic based on the applicable gesture. The client can be a mapping device and the task can be one of various mapping operations. The system can also comprise hardware for making the detected movement an applicable gesture. The system can also comprise voice recognition providing voice input for enabling the client to perform the task based on the voice input in conjunction with the applicable gesture. The applicable gesture can be a movement authorized using facial recognition.