手势
人气
计算机科学
光学(聚焦)
有线手套
主流
手势识别
数据科学
人工智能
人机交互
多媒体
物理
哲学
心理学
光学
社会心理学
神学
作者
Mingzhang Pan,Yingzhe Tang,Hongqi Li
标识
DOI:10.1109/ises54909.2022.00088
摘要
Human-machine interaction has been the focus of recent research, with data gloves as one of the approaches gaining popularity for their high accuracy and convenience. This paper summarizes the latest research status of data gloves with a focus on the area of glove-based gesture recognition. The core technology of gesture recognition is described in detail from data processing to classification, and a quantitative analysis of the recent research is conducted. We found that though studies on applications and algorithms are the mainstream, the hardware design also accounts for a pretty large proportion of about 30%. Moreover, the number of gestures, subjects, and algorithms for majority of relevant studies has been summarized.
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