玩家的手势使用电脑视觉

Fikri Fahrudin, Mesi Andriani, Muallimin, Eka Altiarika
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引用次数: 0

摘要

手势识别允许计算机科学技术的用户更方便地与他们的数字设备连接。手势识别技术可以在各种环境中提供帮助,例如自动化家用电器,汽车和手势的解释。手势识别是手势识别的一部分,它决定了一个特定的手势想要传达什么信息。在开发这种自动手部运动的过程中,我们使用了分割和对象检测,这种方法涉及到使用算法来检测和识别与手部运动相关的物体或区域。例如人体皮肤、手指等。使用计算机视觉检测人手运动是一种数字图像处理技术,旨在从图像或视频数据中识别人手运动。该技术可以应用于各种应用,如人机交互、手势识别或视频游戏。根据已经完成的研究和开发,使用计算机视觉实现玩家自动手部运动有可能改善玩游戏或使用需要手部运动的交互式应用程序时的用户体验。如果计算机视觉技术能够准确识别手部动作,游戏就可以更精确地控制,而不需要额外的硬件,如操纵杆或控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gerakan Tangan Pemain Otomatis Menggunakan Computer Vision
Gesture recognition allows users of computer science technology to connect with their digital devices more conveniently. Technology for gesture recognition can be helpful in a variety of contexts, such as automated household appliances, automobiles, and interpretation of hand gestures. Gesture recognition is part of gesture recognition which determines what message a certain hand movement wants to convey. In developing this automatic hand movement we use segmentation and object detection where this method involves using algorithms to detect and identify objects or areas related to hand movements. , such as human skin, fingers, and others. Detection of human hand movements using computer vision is a digital image processing technique that aims to recognize human hand movements from image or video data. This technique can be applied in various applications such as human-computer interaction, hand gesture recognition, or video games. Making Automatic Player Hand Movements Using Computer Vision has the potential to improve the user experience when playing games or using interactive applications that require hand movements, according to the research and development that has been done. Games could be controlled more precisely and with less need for additional hardware such as joysticks or controllers if computer vision technology was able to accurately distinguish hand movements.
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