A modular architecture for IMU-based data gloves
CoRR(2024)
摘要
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.
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