Gait has been considered as a promising and unique biometric for person identification.
Traditionally, gait data are collected using either color sensors, such as a CCD camera …

As the convenience and cost benefits of natural user interface (NUI) technologies are
hastening their wide adoption, computing devices equipped with such interfaces are …

Humans are able to simultaneously identify a person and recognize his or her action based
on biological motions. Previous work usually treats action recognition and person …

Recently, gestures have been proposed as an alternative biometric modality to traditional
biometrics such as face, fingerprint, iris and gait. As a biometric, gesture is a short body …

Existing hand gesture authentication methods require the probe gesture types to be
consistent with the registered ones, which reduces the user-friendliness and efficiency of …

The meaning of the word style depends on its context. While actions have already been
quite studied for a while, style in human body motion is a growing topic of interest. In the …

While a wide consensus acknowledges that participation is critical for the successful
implementation of change that improves the livelihoods of people and communities around …

Depth-sensors, such as the Kinect, have predominately been used as a gesture recognition
device. Recent works, however, have proposed using these sensors for user authentication …

We consider a problem of identifying people based on their styles in performing actions from
an arbitrary predefined set of action types. We present a generative model describing the …

As a novel approach to perform user authentication, we propose a multimodal biometric
system that uses faces and gestures obtained from a single vision sensor. Unlike typical …