Intelligent Assistive Technology and Systems Lab - click to go to homepage
IATSL develops assistive technology that is adaptive, flexible, and intelligent, enabling users to participate fully in their daily lives. Learn more about our research

Visit us:

Room 438

500 University Ave.

Toronto, Canada

P 416.946.8573

F 416.946.8570

 

Send us mail:

160 - 500 University Ave.

Toronto, ON, M5G 1V7

Canada

 

email us!

 

Follow IATSL on Twitter

Projects

iWalker

Keywords: Balance, assistive devices, locomotion, community mobility, motor control.

In collaboration with: Centre for Studies in Aging, Toronto Rehabilitation Institute, University of Waterloo


Overview of Research

Assistive mobility devices, such as canes, crutches, or walkers, continue to grow in popularity as an approach to maintain and maximize ‘safe mobility’ among individuals with mobility restrictions. The rollator (or 'four-wheeled walker') is a mobility aid commonly used to facilitate balance and mobility for individuals with cardiorespiratory, musculoskeletal, or neurological deficits. Despite its popularity, there are also reports of adverse effects related to walker use linked to increased fall risks.

Studies examining the effectiveness and consequences of rollator use have employed standard laboratory-based measurement methods that rely on performing specific tasks within a short time period and under controlled conditions. These lab-based assessment methods are potentially limited in generalizability to mobility in the everyday context. To address the lack of tools available, an instrumented rolling walker (iWalker) was developed as an ambulatory measurement tool applicable to the assessment of balance outside of the lab or clinic for assistive device users.

System Overview

The iWalker (shown in Figure 1) autonomously collects measurements of the upper and lower limb behaviour related to balance, walker kinematics, and video of the immediate spatial environment. Figure 2 shows the component layout designed to be mounted underneath the seat. Aspects examined by the iWalker are:

Balance Control

  • Upper limb forces (e.g., vertical load, centre-of-pressure) are measured through load cells mounted in the legs of the iWalker
  • Spatiotemporal parameters of lower limb stepping (e.g., step width, step time) are captured using a video system aimed at the user's feet

iWalker Kinematics

  • Magnetic encoders capture wheel rotations to measure iWalker distance and speed
  • Inertial sensors capture the 3-D acceleration of the iWalker

Spatial Environment

  • Aimed at the upcoming environment, a video system captures the immediate spatial surroundings (e.g., obstacles, terrain, lighting, pedestrians)

Data Acquisition

  • An on-board acquisition system based on mobile electronics (e.g., SmartPhone) captures and stores data

Photo of iWalker

Figure 1. The iWalker

Schematic of iWalker under-the-seat componentryFigure 2. Schematic of specialised iWalker components, located under the iWalker seat (click on image to enlarge)

Research Objectives

The initial development and evaluation goals characterized the contribution of the upper limbs in maintaining balance in standard standing and walking tasks in older adults who regularly used rollators. The main findings from these studies were that the upper limbs play an important role in maintaining balance, particularly in the medial-lateral plane, and can compensate for lower limb deficits or constraints.

Pilot studies assessed the feasibility and utility of assessing in-patients recovering from neurological injury (e.g., stroke, traumatic brain injury). In this study, we found that users demonstrated repeated incidents of device collisions with the environment, problems manoeuvring, and stronger walker dependency under specific situations.

Currently, the project has identified the following avenues for continued research:

  1. Extracting features from the iWalker data stream to identify specific environmental challenges to balance
  2. Development of lower limb kinematics measurements
  3. Further characterization of task-specific behaviours (e.g., turning, transitions)

Funding Sources

Canadian Institutes of Health Research (CIHR - NET)

Natural Sciences and Engineering Research Council of Canada ( NSERC)

Toronto Rehab (Mobility team)


Research Team

James Tung, Ph.D. Candidate (University of Waterloo)

William McIlroy, Ph.D. (University of Toronto, TRI)
Karl F Zabjek (University of Toronto)
Brian E Maki (SWCHSC, TRI)

William H Gage (TRI)

Stephen Hill (TRI)

Geoff Fernie (TRI)

Alex Mihailidis, Ph.D. P.Eng. (University of Toronto)

Pascal Poupart (University of Waterloo)

Dina Brooks (University of Toronto, TRI)