Unobtrusive Low Cost Pupil Size Measurements using Web cameras
This work addresses health monitoring for the elderly, but it is incremental as it applies existing computer vision techniques to a specific domain.
The paper tackles the problem of unobtrusive health monitoring for the elderly by developing a method to measure pupil size in real time using low-cost web cameras, with experimental results demonstrating its efficiency and effectiveness.
Unobtrusive every day health monitoring can be of important use for the elderly population. In particular, pupil size may be a valuable source of information, since, apart from pathological cases, it can reveal the emotional state, the fatigue and the ageing. To allow for unobtrusive monitoring to gain acceptance, one should seek for efficient methods of monitoring using com- mon low-cost hardware. This paper describes a method for monitoring pupil sizes using a common web camera in real time. Our method works by first detecting the face and the eyes area. Subsequently, optimal iris and sclera location and radius, modelled as ellipses, are found using efficient filtering. Finally, the pupil center and radius is estimated by optimal filtering within the area of the iris. Experimental result show both the efficiency and the effectiveness of our approach.