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UCL MotionInput: Touchless computing interactions in clinical training, radiology and operating theatres.

Sheena Visram¹, Dean Mohamedally¹, Graham Roberts¹

¹University College London, London, UK.

Future Healthcare Journal

|December 23, 2022

Summary

Advances in federated on-device computer vision and integrated cameras will boost touchless computing adoption. This will enhance gesture recognition software for clinicians and patients in healthcare settings.

Keywords:

contamination operating theatres radiology touchless computing interactions

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Area of Science:

Computer Vision
Human-Computer Interaction
Healthcare Technology

Background:

Integrated cameras in computers and tablets are becoming ubiquitous.
Touchless computing offers potential benefits for hygiene and accessibility in healthcare.
Federated learning enables on-device processing, enhancing privacy and efficiency.

Purpose of the Study:

To explore the potential of integrated cameras and federated learning for touchless computing in healthcare.
To assess the impact of these technologies on gesture recognition software adoption.
To examine the benefits for both healthcare professionals and patients.

Main Methods:

Leveraging advances in federated on-device computer vision algorithms.
Utilizing cameras integrated into existing computing devices (computers, tablets).
Developing and evaluating gesture recognition software for healthcare applications.

Main Results:

Increased convenience and ease of use for touchless interaction.
Projected rise in the uptake of gesture recognition software.
Potential for improved workflows and patient engagement through touchless interfaces.

Conclusions:

Federated on-device computer vision combined with integrated cameras will drive touchless computing in healthcare.
Gesture recognition software is poised for wider adoption, benefiting clinicians and patients.
The synergy of these technologies promises enhanced accessibility and efficiency in medical environments.