Vision-Based User Interfaces for Health Applications: A Survey

Abstract

Abstract. This paper proposes a survey of vision-based human computer interfaces for several key-fields in health care: data visualization for image-guided diagnosis, image-guided therapy planning and surgery, the operating room, assistance to motor-impaired patients, and monitoring and support of elderly. The emphasis is on the contribution of the underlying computer vision techniques to the usability and usefullness of interfaces for each specific domain. It is also shown that end-user requirements have a significant impact on the algorithmic design of the computer vision techniques embedded in the interfaces.

Touchless control module for diagnostic images at the surgery room using the Leap Motion system and 3D Slicer Software

“…There are some human-computer interfaces controlled by hand gestures [4], facial expressions [5] and body gestures [6] that allow surgeons to browse and manipulate medical image keeping sterile conditions, but the access to such technologies in countries like Colombia is limited.…”

Hand-gesture-based sterile interface for the operating room using contextual cues for the navigation of radiological images

“…1 2 In addition, when nurses or assistants operate the keyboard for the surgeon, the process of conveying information accurately has proven cumbersome and inefficient 3 (since spoken dialog can be time-consuming 4 ) and leads to frustration and prolonged time for performing the intervention. 2 This is a problem when the user (surgeon) is already performing a cognitively demanding task.…”

GSV Annotated Bibliography

“…The paper by Albu et al is a survey of vision-based Human-Computer Interaction (HCI) systems for: Image-guided diagnosis, therapy planning, surgery, motor-impaired patient assistance, and support of the elderly [28]. This paper makes a strong case that end-user requirements have (or should have) a significant impact on the algorithmic design of the computer vision techniques (e.g.…”