This paper proposes a novel multi-modal gesture recognition framework and introduces its
application to continuous sign language recognition. A Hidden Markov Model is used to …

Gesture recognition is important in human–machine interaction. Current methods for solving
gesture recognition have several disadvantages such as low recognition rate, slow speed …

With the continuous emergence of depth image recognition technology, human motion
recognition technology has gradually come to life. However, because the current technology …

Aiming at the problems of low recognition rate and robustness of the gesture recognition in
complex scenes such as light changes and background interference, a gesture recognition …

Among many sports, badminton is one of the most popular events and it is deeply loved by
people. However, there is relatively little research on pose recognition and prediction of …

This paper presents an application of a mixture of Hidden Markov Models (HMMs) as a tool
for verification of IoT fuel sensors. The IoT fuel sensors report the level of fuel in tanks of a …

Because of the superiority of crowdsourcing, many companies are eager to seek the
solutions for some issues through crowdsourcing, eg, assembling crowd wisdom …

The traditional multi-media video text auto-positioning is too dependent on man-made
function, and its disadvantages are mainly embodied in the aspects of strong subjectivity …

Validating character animation techniques has traditionally relied on human observers.
However, more and more researchers have started to develop methods to automatically and …