Recognition of sign language by a system has become important to bridge the
communication gap between the abled and the Hearing and Speech Impaired people. This …

Hearing impaired individuals can easily overcome the barriers in communicating with other
members of the society via computer technology. In this study, the recognition of dynamic …

Extensive research has been done using machine learning techniques for hand gesture
recognition (HGR) using camera-based devices; such as the Leap Motion Controller (LMC) …

Electrical impedance tomography (EIT) has been applied in the field of human-computer
interaction due to its advantages including the fact that it is non-invasive and has both low …

Sign language is a language that uses hand gesture to present a word within the hearing
impairment communication. But, the important problem is sign language is not usual for …

Hand gesture and sign language are important in facilitating non-verbal communication
between human beings. This paper proposes a new approach to code 3d hand gestures for …

People with disabilities (hearing and listening impaired) have a vast social circle all over the
world. For deaf and mute people, the sign language paves a way for the better …

The communication barriers faced by people with disabilities, particularly the deaf or hard of
hearing, nonverbal, deaf-mute, and blind have a significant impact on their quality of life and …

摘要相较于依赖其他传感器的手势交互, 基于视觉的手势交互不需要额外穿戴外部设备,
成本较低, 成为了最自然的人机交互方式之一. 针对增强现实电子沙盘中特定的手势识别要求 …

摘要手势识别作为人机交互的有效手段, 成为当前研究的热点话题. 针对动态手势识别存在时空
多变性, 特征复杂性等问题, 本文提出了一种基于三维骨骼信息的动态手势识别方法 …