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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

361
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
361

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Related Experiment Video

Updated: Jul 26, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

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Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application.

Hongdao Dong1, Herbert Shin2, Edward Ho1

  • 1Schulich School of Medicine and Dentistry, Western University, London, ON.

Journal of Hand Surgery Global Online
|June 16, 2023
PubMed
Summary
This summary is machine-generated.

The DIGITS web application accurately measures finger range of motion across various devices, proving reliable for remote hand telerehabilitation and reducing healthcare costs.

Keywords:
Computer visionHand surgeryPlastic surgeryRange of motionTelerehabilitation

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Area of Science:

  • Digital health
  • Telerehabilitation
  • Biomedical engineering

Background:

  • The DIGITS platform was developed to overcome barriers in accessing clinical resources for evaluating finger range of motion, dexterity, and swelling.
  • A web application version of DIGITS has been created for broader accessibility across diverse devices.

Purpose of the Study:

  • To validate the DIGITS web application by comparing finger flexion and extension measurements.
  • To assess the performance of DIGITS across devices with varying operating systems and camera resolutions.

Main Methods:

  • Flexion and extension measurements were taken on the same individual's hands using three different devices.
  • Statistical analysis included absolute difference, standard deviation, standard mean error, and intraclass correlation coefficient.
  • Equivalency testing was performed using a confidence interval approach.

Main Results:

  • Differences in measured degrees ranged from 2° to 3° for extension and 3° to 8° for flexion.
  • Intraclass correlation coefficients ranged from 0.77 to 0.96 across all devices and movements.
  • Equivalency was demonstrated within a 90% confidence interval across different devices.

Conclusions:

  • The DIGITS web application demonstrates good test-retest reliability for finger range of motion assessment in hand telerehabilitation.
  • Measurements showed acceptable absolute differences within a 9° tolerance.
  • DIGITS provides equivalent measurements regardless of device, platform, or camera resolution, reducing costs for patients and providers.