Selected Publications

Chronic obstructive pulmonary disease (COPD) and asthma are the most common respiratory diseases that impact millions of people worldwide annually. With advances in mobile computing and machine learning techniques, there has been increased interest in using mobile devices to monitor pulmonary diseases. Nevertheless, the current state-of-the-art technology requires active involvement and high-effort input from the users, impeding continuous monitoring of pulmonary conditions. In this work, two algorithms are proposed for passive assessment of pulmonary condition: one for detection of obstructive pulmonary disease and the other for estimation of the pulmonary function in terms of FEV_1/FVC ratio, which is an established clinical metric. This work presents a meaningful milestone towards the passive assessment of pulmonary functions from spontaneous speech collected from a mobile phone.
PerCom, 2020

We propose an approach that leverages off-the-shelf activity tracker to detect drinking events. Here, we also apply an adaptive windowing approach in the analysis to capture the wide distribution of drinking durations.
IUI, 2019

FlashBite is a wearable necklace that continuously tracks the jaw motion using an infrared proximity sensor. In this paper, we talk about the application of FlashBite for dietary monitoring.
IMWUT, 2018

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