Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

摘要目前, 人运动的视觉分析是计算机视觉领域中最活跃的研究主题之一, 其核心是利用计算机
视觉技术从图像序列中检测, 跟踪, 识别人并对其行为进行理解与描述, 它在虚拟现实, 视觉监控 …

Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

We present variational generative adversarial networks, a general learning framework that
combines a variational auto-encoder with a generative adversarial network, for synthesizing …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Sign language recognition is a challenging and often underestimated problem comprising
multi-modal articulators (handshape, orientation, movement, upper body and face) that …

As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

We propose a sign language translation system based on human keypoint estimation. It is
well-known that many problems in the field of computer vision require a massive dataset to …