Detecting Cataract Using Smartphones

Detecting User Activities using the Accelerometer on Android Smartphones

Pulmonary Monitoring Using Smartphones

Pulmonary assessment is widely employed by medical professionals and has become an important marker of health. It is used for screening, diagnostics, and management of chronic pulmonary diseases like asthma, chronic bronchitis, and chronic obstructive pulmonary disease. However, pulmonary assessment has mostly been restricted to self-report and routine monitoring at a physicians office. Smartph...

Queuing Analytics using Smartphones

We present QueueVadis, a system that addresses the problem of estimating, in real-time, the properties of queues at commonplace urban locations, such as coffee shops, taxi stands and movie theaters. Abjuring the use of any queuing-specific infrastructure sensors, QueueVadis uses participatory mobile sensing to detect both (i) the individual-level queuing episodes for any arbitrarily-shaped queu...

Detecting and managing complications in cataract patients

Even if these are all in place, problems can arise with a patient who can’t keep still in theatre, an eye that is deep-set and difficult to access, a small pupil, weak lens zonules (whether due to pseudo-exfoliation or subluxation) or a hyper-mature cataract that requires a high degree of surgical skill. If the posterior capsule is ruptured and there is vitreous loss, there is a higher risk of ...

Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

Despite being a major public health problem, falls in the elderly cannot be detected efficiently yet. Many studies have used acceleration as the main input to discriminate between falls and activities of daily living (ADL). In recent years, there has been an increasing interest in using smartphones for fall detection. The most promising results have been obtained by supervised Machine Learning ...