Instrumented Cane Gait Energetics

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Instrumented Cane Gait Energetics

ISEF Category: Biomedical Engineering

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Subcategory: Biomechanics  ·  Difficulty: Advanced  ·  Setup: Home Setup  ·  Time: 1 to 2 Months

The Hook

Canes and crutches help millions walk every day, but long-term users develop shoulder and wrist injuries that nobody warned them about. An instrumented cane that logs how hard you push, how often, and at what angle could change that. Replaying the data through OpenSim turns force time series into a personal injury-risk score.

What Is It?

A load cell measures axial force on the cane shaft. An IMU on the handle measures angle. An ESP32 logs both signals over Bluetooth or to an SD card. Total upper-limb work is force times displacement summed over a walking session.

OpenSim inverse dynamics takes a motion file plus external forces and computes joint torques. With a published upper-limb model, you can replay the cane load and read out shoulder and wrist torques.

Published work documents how repeated peak torques relate to rotator-cuff overuse. Comparing your replays to those thresholds turns engineering measurements into a meaningful clinical risk number.

Why This Is a Good Topic

Assistive-device biomechanics is overlooked and accessible. Hardware costs are low and OpenSim is free. You will learn sensor design, inverse dynamics, and clinical-data interpretation.

Research Questions

  • How does cane height change peak shoulder torque?
  • What is the effect of walking speed on cumulative upper-limb work?
  • Does cane angle correlate with predicted wrist torque?
  • To what extent does subject body weight shift torque distribution?
  • Which device (cane vs. crutch) loads the shoulder more for the same distance?
  • How does ground slope shift load patterns?
  • What is the effect of grip-pad cushioning on impulsive load peaks?

Basic Materials

  • Load cell (HX711-based).
  • MPU-6050 IMU.
  • ESP32 microcontroller and LiPo battery.
  • Microsd card or BLE logger.
  • Aluminum or wood cane.
  • Bathroom scale for calibration weights.
  • Standard treadmill or marked walking lane.

Advanced Materials

  • Multi-axis load cell.
  • Mocap-instrumented lab.
  • Clinical mentor.
  • Calibrated treadmill with adjustable slope.

Software & Tools

  • Arduino IDE or PlatformIO: Programs the ESP32.
  • OpenSim: Runs the upper-limb inverse-dynamics replay.
  • Python (NumPy and Pandas): Logs and processes cane data.
  • Matplotlib: Plots torque time series.

Experiment Steps

  1. Calibrate the load cell with known weights across the expected range.
  2. Lock a single cane model and document height settings.
  3. Decide the walking conditions and the number of trials per subject.
  4. Plan controls (no cane, partial weight bearing) to bracket conditions.
  5. Replay each session through OpenSim and extract joint torques.
  6. Compare replayed torques to published overuse-injury thresholds.

Common Pitfalls

  • Drift in IMU integration that misreports cane angle.
  • Skipping load-cell zero between sessions.
  • Recording without a tare for body weight on the cane.
  • Treating peak torque as the only outcome and ignoring cumulative work.
  • Replaying without scaling the OpenSim model to the subject's body weight.

What Makes This Competitive

Calibrate the load cell with known weights, log multiple subjects across multiple walks, and run a randomized-order within-subject design comparing canes vs. crutches. Validate replayed torque against published cane-walking studies and report effect sizes with confidence intervals.

Project Variations

  • Compare forearm crutches vs. axillary crutches.
  • Add a strain gauge to the cane shaft for bending moments.
  • Predict left-vs-right asymmetry and link to handedness.

Learn More

  • OpenSim documentation: Free tutorials.
  • PubMed: Search cane biomechanics shoulder overuse review.
  • NIH PubMed Central: Open-access papers on assistive-device gait.
  • HX711 Arduino library documentation.
  • MIT OpenCourseWare: Course 2.183 Biomechanics of Human Motion.
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