A HOG-based hand gesture recognition system on a mobile device
A HOG-based hand gesture recognition system on a mobile device
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DOI：
10.1109/icip.2014.7025807
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发表时间：
2014-01
期刊：
影响因子：
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通讯作者：
Lukas Prasuhn;Y. Oyamada;Yoshihiko Mochizuki;H. Ishikawa
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文献类型：
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作者：
Lukas Prasuhn;Y. Oyamada;Yoshihiko Mochizuki;H. Ishikawa
我们提出了一个基于HOG的手势识别系统运行在移动终端。输入数据是由移动终端拍摄的手势的视频。将输入数据与存储手势图像的数据库进行比较，手势图像是用旋转变化合成的。基于它们的HOG特征进行比较，并且返回与最佳匹配图像对应的手势作为结果。识别算法在客户端-服务器系统上实现。该系统被应用到美国手语（ASL）字母识别问题。实验结果表明，所提出的识别算法提高了HOG的旋转变化下的鲁棒性，并比较了不同网络配置的处理时间。
We propose a HOG-based hand gesture recognition system running on a mobile device. Input data is a video of hand gesture taken by a mobile device. The input data is compared with a database storing hand gesture images, which was synthesized with rotation variation. The comparison is done based on their HOG features and the gesture corresponding to the best-matched image is returned as the result. The recognition algorithm is implemented on a client-server system. The proposed system is applied to American Sign Language (ASL) alphabet recognition problem. The experimental results show that the proposed recognition algorithm improves HOG's robustness under rotation change and compare processing time with different network configurations.