Many approaches to human activity recognition such as wearable based or computer vision
based are obtrusive in the sense that they prevent the users from performing activities in a …

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 …

Wider availability of sensors and sensing systems has pushed research in the direction of
automatic activity recognition (AR) either for medical or other personal benefits eg wellness …

In this paper we present MobiRAR, a real-time human activity recognition system using
mobile devices. The system utilizes the acceleration sensing data from the accelerometer …

We present a real-time fall detection and activity recognition system that is inexpensive and
can be easily deployed using two Wii Remotes worn on human body. Continuously 3 …

Rich metadata is becoming a key part of the broadcast production pipeline. This information
can be used to deliver compelling new consumption experiences which are personalized …

GOIG 9/4I4(2006.01) GOIG 9/45(2006.01)(57) ABSTRACT G06F 9/00(2011.01) This
disclosure relates to a system configured to determine G06O 10/10(2012.01) masses …

We present SigVer3D–a convenient authentication method for users of mobile devices with
built-in accelerometers. The method works by analyzing streams of signals returned by a …

We present a real-time fall detection and activity recognition system (FDAR) that can be
easily deployed using Wii Remotes worn on human body. Features extracted from …

This paper presents a fresh food recognition system that utilizes the feature fusion extracted
from food images captured from optical fibers embedded inside a chop** board. We …