Vision-based user interfaces for health applications: A survey

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.