Physical UX: Optimizing Industrial Tool Ergonomics

Using Electromyography (EMG) sensor and psychophysical scaling to validate design interventions for injury prevention.

Role: Lead Researcher

Timeline: May 2022

Context: LSU Department of Industrial Engineering

Methods: Electromyography (EMG), Borg CR-10 Scale (RPE), T-Tests, Controlled Experimentation (N=6)

Executive Summary

Challenge: Hand-Arm Vibration Syndrome (HAVS) affects nearly 2 million workers in the U.S., often caused by improper tool usage in riveting tasks. The “user interface” here isn’t a screen—it’s a high-vibration power tool. I needed to determine if a specific design intervention (a horizontal side handle) effectively reduced physical load or if it introduced new strain.

Approach: I designed a controlled experiment (N=6) to compare two interaction methods: the standard pistol grip vs. a side-handle grip. I used biometric sensors (EMG) to measure real-time muscle activity in the forearm and paired this with psychophysical surveys (Borg CR-10) to measure perceived exertion.

Outcome: The study revealed a fascinating paradox: The side handle actually increased specific muscle activation (providing necessary stability) but reduced perceived exertion by ~46%. This validated the side handle as a safer, more ergonomic option for industrial workers.

Experimental Setup: Comparing the standard pistol grip interaction (left) vs. the side-handle intervention (right) in a controlled machine shop environment.

Experimental Design: The study followed a true experimental design with 1 independent variable (Handle Presence) and 2 dependent variables (Muscle Activity & Perceived Effort).

  • Task: Participants performed high-frequency riveting on an aluminum assembly.
  • Sensors: Wireless Bagnoli-2 EMG sensors placed on 4 key muscle groups (e.g., Flexor Carpi Radialis)
  • Subjective Metrics: After each trial, users rated their effort on the Borg CR-10 scale (0=No Exertion, 10=Maximal).
Sensor Placement: Wireless EMG sensors positioned on the Flexor Carpi Radialis and Brachioradialis to measure muscle activation levels in real-time.

Key Insights & Data

The “Comfort” Win (RPE)

  • Insight: Users felt significantly less fatigue when using the side handle.
  • Data: Average Perceived Exertion dropped from 4.17 (Without Handle) to 2.25 (With Handle). This result was statistically significant ($p=0.02$).
  • Impact: Lower perceived exertion correlates with longer work endurance and higher user satisfaction.
Psychophysical Results: The side handle (Blue) consistently resulted in lower perceived exertion ratings (RPE) compared to the standard grip (Orange) across nearly all participants.

The “Stability” Trade-off (EMG)

  • Insight: Biometric data showed that the Flexor Carpi Radialis muscle was actually more active with the handle ($p=0.1$).
  • Interpretation: This increased activity wasn’t “strain”—it was control. The muscle was engaging to stabilize the tool against vibrations/kickback. The handle shifted the load from “passive shock absorption” (bad) to “active stabilization” (good).
Biometric Results:The data highlights where activity increased (Flexor Carpi Radialis) vs. decreased (Brachioradialis), proving the handle changed the physical interaction strategy.

Impact: Evidence-Based Design

  • Safety Validated: The study provided empirical evidence that the side handle configuration is safer for long-term use, reducing the risk of HAVS.
  • Design Recommendation: Industrial tool manufacturers should standardize side-handle mounts for riveting tasks to lower the cognitive and physical load on operators.

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