This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …

Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

Automatic cough detection is key to tracking the condition of patients suffering from
tuberculosis. We evaluate various acoustic features for performing cough detection using …

Cough is a very common symptom and the most frequent reason for seeking medical advice.
Optimized care goes inevitably through an adapted recording of this symptom and automatic …

The widespread use of cough counting tools has, to date, been limited by a reliance on
human input to determine cough frequency. However, over the last two decades advances …

The objective of this paper is to characterize frequency-dependent wave propagation of
footstep induced floor vibration to improve robustness of vibration-based occupant …

Coughing, sneezing, and face touching activities are three primary ways of spreading
disease. With the onset of COVID-19 it is paramount to monitor these activities at home and …

The number of people passing through different indoor areas is useful in various smart
structure applications, including occupancy-based building energy/space management …

Future ubiquitous home environments can contain 10s or 100s of devices. Ubiquitous
services running on these devices (ie localizing users, routing, security algorithms) will …

In this paper we present MobiCough, a method and system for cough detection and
monitoring on low-cost mobile devices in real-time. MobiCough utilizes the acoustic data …