Short answer

Designers must adopt a systems-thinking approach, integrating user intent, environmental context, and device capabilities into the control strategy from the outset.

Field
Human Factors
Source
Journal of NeuroEngineering and Rehabilitation (2015)
Method
Literature Review
Evidence
Strong effect

Effective control of active lower limb prosthetics and orthotics hinges on understanding the intricate interplay between the user's intent, the device's mechanics, and the surrounding environment, rather than treating the device in isolation. This human factors research insight is drawn from a 2015 study published in Journal of NeuroEngineering and Rehabilitation. Using Literature review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers must adopt a systems-thinking approach, integrating user intent, environmental context, and device capabilities into the control strategy from the outset.

Study
Human FactorsHigh ImpactStrong effect

Seamless prosthetic and orthotic control requires a holistic system approach

Effective control of active lower limb prosthetics and orthotics hinges on understanding the intricate interplay between the user's intent, the device's mechanics, and the surrounding environment, rather than treating the device in isolation.

Journal of NeuroEngineering and Rehabilitation · 2015

01

Key Findings

  • 01Control strategies for active lower limb prosthetics and orthotics are crucial for restoring human locomotion.
  • 02A holistic framework considering the user, environment, and device is necessary for advanced control.
  • 03Safety mechanisms are paramount for real-world application and regulatory approval.
02

Application

Design takeaway

Designers must adopt a systems-thinking approach, integrating user intent, environmental context, and device capabilities into the control strategy from the outset.

How to apply

When designing any wearable assistive technology, map out the interactions between the user's physical and cognitive states, the device's sensors and actuators, and the typical environments of use. Develop control algorithms that dynamically adapt to these interactions.

Project actions

  • 01When designing a prosthetic or orthotic device, consider how the user will provide input (e.g., through muscle signals, balance changes) and how the device will provide feedback.
  • 02Research the typical environments where the device will be used (e.g., stairs, uneven terrain) and how these environments affect user control.
03

Method & Evidence

AimWhat are the state-of-the-art control strategies for active lower limb prosthetic and orthotic devices, and how can they be effectively interfaced with the user's sensory-motor control system for daily locomotion?
MethodLiterature Review
ProcedureThe researchers conducted a comprehensive review of existing literature on control strategies for active lower limb prosthetics and orthotics, focusing on their application in daily living activities. They developed a classification scheme for comparing these strategies and proposed a general framework for controlling such devices.
ContextRehabilitation robotics, assistive devices, human locomotion

Variables

IVControl strategy parameters, user input signals, environmental conditions
DVLocomotion performance (e.g., gait speed, stability), user perceived effort, device responsiveness
CVUser's physical condition, specific prosthetic/orthotic device model, testing environment setup
04

Strengths & Limitations

Strengths

  • +Provides a comprehensive overview of existing control strategies.
  • +Proposes a novel, unifying framework for device control.

Limitations

The review is from 2015, so newer control strategies might exist. The proposed framework is conceptual and its practical implementation can be complex.

Reliability & validity

The reliability of the review depends on the quality and comprehensiveness of the included studies. Validity is enhanced by the proposed framework's ability to classify and compare diverse strategies.

Think critically

How might advancements in artificial intelligence and machine learning further enhance the 'ecosystem' approach to prosthetic and orthotic control, moving beyond pre-programmed strategies?

05

Design Principles

"Assistive devices should be designed as integrated components within a user-environment-device ecosystem."

For designers of assistive technologies, this means moving beyond purely mechanical or algorithmic solutions. It necessitates a deep dive into human-computer interaction, sensory feedback, and the dynamic nature of human movement to create devices that feel like natural extensions of the user's body.

06

What This Means for Your Design

To make artificial legs or braces work well, you can't just think about the machine itself. You need to think about how the person using it wants it to move, what they're doing, and where they are. It's like making a team where the person, the device, and the surroundings all work together smoothly.

How to use in your project

  • 1.Reference this review when discussing the importance of user-centered control systems in your design project, particularly when justifying your chosen control strategy or user interface.
07

Add to My Project

08

Quick Cite

Paragraph starter

The development of advanced control strategies for active lower extremity prosthetics and orthotics necessitates a holistic systems approach, recognizing the device as an integral part of an ecosystem that includes the user and their environment. As highlighted by Tucker et al. (2015), effective control is achieved not by isolating the device, but by understanding and integrating the physical and informatic interactions between the controller, the user, the environment, and the mechanical device itself. This perspective is crucial for designing assistive technologies that seamlessly restore and enhance human locomotion.

09

Source

Journal of NeuroEngineering and Rehabilitation

Control strategies for active lower extremity prosthetics and orthotics: a review

journal · 2015

View source

Questions About This Research

What does the research say about seamless prosthetic and orthotic control requires a holistic system approach?
Designers must adopt a systems-thinking approach, integrating user intent, environmental context, and device capabilities into the control strategy from the outset. Evidence: Journal of NeuroEngineering and Rehabilitation (2015).
Why does "Seamless prosthetic and orthotic control requires a holistic system approach" matter for design?
For designers of assistive technologies, this means moving beyond purely mechanical or algorithmic solutions. It necessitates a deep dive into human-computer interaction, sensory feedback, and the dynamic nature of human movement to create devices that feel like natural extensions of the user's body.
How can designers apply this research?
Designers must adopt a systems-thinking approach, integrating user intent, environmental context, and device capabilities into the control strategy from the outset.
What were the main findings?
Control strategies for active lower limb prosthetics and orthotics are crucial for restoring human locomotion.. A holistic framework considering the user, environment, and device is necessary for advanced control.. Safety mechanisms are paramount for real-world application and regulatory approval.
What research method was used?
Literature Review.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2015 journal from Journal of NeuroEngineering and Rehabilitation.
What should I do differently in my next project?
When designing any wearable assistive technology, map out the interactions between the user's physical and cognitive states, the device's sensors and actuators, and the typical environments of use. Develop control algorithms that dynamically adapt to these interactions.
What are the limitations?
The review focuses on existing literature and may not capture all emerging or proprietary control techniques. The proposed framework is general and requires specific implementation for different devices.