Ten different feature vectors are tested in a gesture recognition task which utilizes 3D data gathered in real-time from stereo video cameras, and HMMs for learning and recognition of gestures. Results indicate velocity features are superior to positional features, and partial rotational invariance is sufficient for good performance.

This is an exploration of listeners association of gestures with musical sounds. The subjects listen to sounds that have been chosen for various salient features, and the tracing movements made by the subjects are recorded and subsequently compared in view of common features in the tracings.

Abstract In this contribution, we offer a first exploration of stance expressions in Flemish Sign Language (VGT). Biber and Finegan (1989) define as the expression feelings, attitudes, judgments, commitments, assessments. The few studies focusing on signed languages have shown that can be expressed by various structures mechanisms such lexical signs, manual gestures (e.g., Palm Up gestures) emb...

EMG-based gesture recognition shows promise for human–machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We present an end-to-end system combating this variability using a large-area, high-density sensor array and a robust classification algorithm. EMG electrodes are fabricated on a flexible substrate and interfaced to a cu...

This paper describes the aesthetic and technical characteristics as well as the process of creating the interactive piece Gestures. This piece was written for two trumpets, two violas, two trombones, double bass, and six electronic devices called “Shapers.” The Shapers were designed to be played by children with or without musical training. Gestures, which was performed as part of the Toy Symph...

So far, approaches towards gesture recognition focused mainly on deictic and emblematic gestures. Iconics, viewed as iconic signs in the sense of Peirce, are different from deictics and emblems, for their relation to the referent is based on similarity. In the work reported here, the breakdown of the complex notion of similarity provides the key idea towards a computational model of gesture sem...

The rich information found in the human gestures makes it possible to be used for another language which is called the sign language, this kind of intuitive interface can be used with human-made machines/devices as well, we herein going to introduce a new gesture recognition system based on image blocking and the gestures are recognized using our suggested brightness factor matching algorithm, ...

Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and difficult. Our goal is to produce a “comic book” summary, in which a transcript is augmented with keyframes that disambiguate and clarify accompanying text. Unlike most previous keyframe extraction systems which rely primar...

In this paper, we have proposed a system based on KL Transform to recognize different hand gestures. The system consists of five steps: skin filtering, palm cropping, edge detection, feature extraction, and classification. Firstly the hand is detected using skin filtering and palm cropping was performed to extract out only the palm portion of the hand. The extracted image was then processed usi...