| Hand gesture recognition system for identifying specific human gestures in sign language recognition and human computer interaction, has original tracking system that focuses articulated hand motion, and degree-off random hand tracked by extracting point and line features | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069612-A |
| 成果简介 | NOVELTY - The system has an original tracking system configured to focus articulated hand motion. A degree-off random hand is tracked at 10Hz by extracting point and line features from grayscale images. A finger is tracked across a planar region using low-cost web cameras in order to manipulate a traditional graphical interface without a mouse or keyboard. A fingertip detection is accomplished by fitting a conic to rounded features, and local tracking of the tip is performed using Kalman filtering. The skin regions are segmented from background pixels in order to track two hands for interaction on a two-dimensional (2D) tabletop display in infrared cameras. USE - Hand gesture recognition system for identifying specific human gestures in sign language recognition and human computer interaction. ADVANTAGE - The system provides natural, innovative and modern way of nonverbal communication, and provides wide area of application in human computer interaction and sign language. The system reduces external interface, and provides high portability and less time consuming. |
| IPC 分类号 | G06F-003/01 ; G06F-003/03 ; G06F-003/04883 ; G06F-003/16 ; G06K-009/62 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/19926 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | ETHIRAJULU V,ATLAS G L,ASISH B T,et al. Hand gesture recognition system for identifying specific human gestures in sign language recognition and human computer interaction, has original tracking system that focuses articulated hand motion, and degree-off random hand tracked by extracting point and line features. IN202341069612-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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