In this work, we consider the recognition of dynamic gestures based on representative sub-segments of a gesture, which are denoted as most discriminating segments (MDSs). The automatic extraction and recognition of such small representative segments, rather than extracting and recognizing the full gestures themselves, allows for a more discriminative classifier. A MDS is a sub-segment of a gest...

BACKGROUND Recently, the recognition of different facial gestures using facial neuromuscular activities has been proposed for human machine interfacing applications. Facial electromyograms (EMGs) analysis is a complicated field in biomedical signal processing where accuracy and low computational cost are significant concerns. In this paper, a very fast versatile elliptic basis function neural n...

As the integration of digital cameras within personal computing devices becomes a major trend, a real opportunity exists to develop more natural Human-Computer Interfaces that rely on user gestures. In this work, we present a system that acquires and classifies users’ hand gestures from images and videos. Using inputs from low resolution off-the-shelf web cameras, our algorithm identifies the l...

People naturally express themselves through facial gestures and expressions. Our goal is to build a facial gesture human-computer interface for use in robot applications. We have implemented an interface that tracks a person’s facial features in real time (30Hz). Our system does not require special illumination nor facial makeup. By using multiple Kalman filters we accurately predict and robust...

This paper details a strategy of discriminating finger Gestures using surface electromyography (EMG) signals, which could be applied to controlling the advanced multi-fingered myoelectric prosthesis for hand amputees. Finger motions discrimination is the key problem in this study. The EMG signal classification system was established based on the surface EMG signals from the subject’s forearm. F...

Humans frequently accompany direction-giving with gestures. These gestures have been shown to have the same underlying conceptual structure as diagrams and direction-giving language, but the puzzle is how they communicate given that their form is not codified, and may in fact differ from one person to the next. Based on results from a study on language and gesture in direction-giving, we propos...

Automatic recognition of dance gesture is one important research area in computer vision with many potential applications. Bali traditional dance comprises of many dance gestures that relatively unchanged over the years. Although previous studies have reported various methods for recognizing gesture, to the best of our knowledge, a method to model and classify dance gesture of Bali traditional ...

The use of human motions for the interaction between humans and computers is becoming an attractive alternative to verbal media, especially through the visual interpretation of the human body motion. In particular, hand gestures are used as non-verbal media for the humans to communicate with machines that pertain to the use of the human gestures to interact with them. This paper introduces a 3D...

Computer applications have been spread ubiquitous due to its essential important that facilitate our daily life, gesture system is one of the most appealing applications that dependents mainly on exploiting the right features that can embody the entire gesture and give the correct meaning of that gesture. For constructing gesture recognition system a serial steps should be considered that are: ...