Emotion Recognition Based on Human Gesture
نویسندگان
چکیده
منابع مشابه
Human Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملhuman computer interaction using vision-based hand gesture recognition
with the rapid emergence of 3d applications and virtual environments in computer systems; the need for a new type of interaction device arises. this is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. in other words, evolution of user interfaces shapes the change in the human-computer interaction (hci). in...
متن کاملEMG-based wrist gesture recognition using a convolutional neural network
Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...
متن کاملVideo Based Gesture Recognition for Human
This paper presents a video based system for hand-gesture recognition. It is able to process the video data and to classify the gestures in real time. Even more, there exists a method for gesture tracking and fault tolerant recognition of gesture sequences. By choosing the colour video channel the system is almost independent of light innuence. For demonstration two practical applications of th...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2007
ISSN: 1976-9172
DOI: 10.5391/jkiis.2007.17.1.046