A modular architecture for IMU-based data gloves

TL;DR

This paper introduces a modular, open-source hardware and software framework for designing customizable IMU-based data gloves, aiming to improve standardization, reproducibility, and flexibility in hand motion data collection.

Contribution

It presents a novel modular architecture for IMU-based data gloves, including hardware design, software, and an evaluation protocol to enhance customization and reproducibility.

Findings

Prototype of the modular data glove developed

Performance evaluation protocol established

Enhanced flexibility and standardization demonstrated

Abstract

The flexibility and range of motion in human hands play a crucial role in human interaction with the environment and have been studied across different fields. Researchers explored various technological solutions for gathering information from the hands. These solutions include tracking hand motion through cameras or wearable sensors and using wearable sensors to measure the position and pressure of contact points. Data gloves can collect both types of information by utilizing inertial measurement units, flex sensors, magnetic trackers for motion tracking, and force resistors or touch sensors for contact measurement. Although there are commercially available data gloves, researchers often create custom data gloves to achieve the desired flexibility and control over the hardware. However, the existing literature lacks standardization and the reuse of previously designed data gloves. As a result, many gloves with unclear characteristics exist, which makes replication challenging and negatively impacts the reproducibility of studies. This work proposes a modular, open hardware and software architecture for creating customized data gloves based on IMU technology. We also provide an architecture implementation along with an experimental protocol to evaluate device performance.