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Data-glove for virtual operations

Key Investigators

• Endre Vecsernyés (University of Szeged)
• Attila Nagy (University of Szeged)
• Kitti Farkas (University of Szeged)
• Bence Horvath (University of Szeged)
• Kyle Sunderland (Queen’s University)
• Eleni Siampli (Children’s National)
• Andras Lasso (Queen’s University)

Project Description

We built a data-glove that tracks hand movements. Our goal is to connect it to Slicer with OpenIGTLink or with the Plus toolkit. The glove has a simple IMU (with 3-axis gyroscope and 3-axis accelerometer /MPU9250/) and a processing unit (Arduino Uno).

Objective

1. Stable connections between the glove and the Slicer

Approach and Plan

1. Making connection between the glove and Slicer with Plus toolkit
2. Plans for the future

Progress and Next Steps

1. The glove can be used as an orientation sensor.
2. For virtual operations we need a different approach and decvice. (For example Leap Motion)

Illustrations

Result:

Background and References

• Previous work in Slicer using PhidgetSpatial 3/3/3 sensor: http://perk.cs.queensu.ca/sites/perkd7.cs.queensu.ca/files/Kotwicz2014.pdf
• MPU9250 Datasheet: https://cdn.sparkfun.com/assets/learn_tutorials/5/5/0/MPU9250REV1.0.pdf
• Arduino Uno website: https://store.arduino.cc/arduino-uno-rev3
• MPU9250-Arduino library: https://github.com/bolderflight/MPU9250
• Code for the orientation sensor: https://github.com/riduid/MPU9250-with-Arduino
• Leap Motion website: https://www.leapmotion.com/