Add to ORKGWe developed a gesture salience based hand tracking method, and a gesture spotting and recognition method based on con-catenated hidden Markov models. A 3-fold cross validation using the ChAirGest development data set with 10 users gives an F1 score of 0.907 and an accurate temporal seg-mentation rate (ATSR) of 0.923. The average final score is 0.9116. Compared with using the hand joint position from the Kinect SDK, using our hand tracking method gives a 3.7 % absolute increase in the recognition F1 score
Wearable wireless devices and ubiquitous computing are expected to grow significantly in the upcomin...
The development of computing technology provides more and more methods for human-computer interactio...
Abstract. We introduce the use of appearance-based features, and tan-gent distance or the image dist...
Abstract — In the recent year gesture recognition has become the most intuitive and effective commun...
In this paper, we introduce a hand gesture recognition system to recognize continuous gesture before...
Using innovative input methods, such as speech commands and hand gestures, is of growing interest fo...
[[abstract]]In this paper, we introduce a hand gesture recognition system to recognize continuous ge...
Human-Machine interfaces play a role of growing importance as computer technology continues to evolv...
This paper is concerned with the recognition of dynamic hand gestures. A method based on Hidden Mark...
In the recent few years, hand gesture recognition system received great attention to be researched b...
We propose a method for recognizing dynamic gestures using a 3D sensor. New aspects of the developed...
AbstractWe have developed an efficient mechanism for real-time hand gesture recognition based on the...
Sequence classification based on Hidden Markov Models (HMMs) is widely employed in gesture recogniti...
This project deals with Mouse gesture recognition. Proposed system models trajectories using Hidden ...
Automatic gesture spotting and recognition is a challenging task for locating the start and end poin...
Wearable wireless devices and ubiquitous computing are expected to grow significantly in the upcomin...
The development of computing technology provides more and more methods for human-computer interactio...
Abstract. We introduce the use of appearance-based features, and tan-gent distance or the image dist...
Abstract — In the recent year gesture recognition has become the most intuitive and effective commun...
In this paper, we introduce a hand gesture recognition system to recognize continuous gesture before...
Using innovative input methods, such as speech commands and hand gestures, is of growing interest fo...
[[abstract]]In this paper, we introduce a hand gesture recognition system to recognize continuous ge...
Human-Machine interfaces play a role of growing importance as computer technology continues to evolv...
This paper is concerned with the recognition of dynamic hand gestures. A method based on Hidden Mark...
In the recent few years, hand gesture recognition system received great attention to be researched b...
We propose a method for recognizing dynamic gestures using a 3D sensor. New aspects of the developed...
AbstractWe have developed an efficient mechanism for real-time hand gesture recognition based on the...
Sequence classification based on Hidden Markov Models (HMMs) is widely employed in gesture recogniti...
This project deals with Mouse gesture recognition. Proposed system models trajectories using Hidden ...
Automatic gesture spotting and recognition is a challenging task for locating the start and end poin...
Wearable wireless devices and ubiquitous computing are expected to grow significantly in the upcomin...
The development of computing technology provides more and more methods for human-computer interactio...
Abstract. We introduce the use of appearance-based features, and tan-gent distance or the image dist...