基于三维空间点的手势控制策略与建模

针对目前大多数控制方式都是局限于特定的控制场景，控制功能单一，不具备普适性、便捷性，且成功率与准确率较低的问题，提出了2类基本的指令算法模型：连续型指令、布尔型指令算法模型。将各种不同场景下一个复杂的控制任务，通过功能分解、指令提取、模型匹配3个步骤分解为上述2类指令算法模型。模型以手部三维坐标点和手部姿态作为输入条件，实现状态跳转和指令输出。经过实际工作和对比得到，提出的手势控制策略可在多种情况下实现，且提出的算法具有较高的成功率、准确率和较好的鲁棒性、便捷性、普适性。

Control strategy and modeling by using 3-D spatial point

With the rapid development of the new generation of Human Computer Interaction(HCI), more and more methods for body feeling gesture control are also developed. But most of the control modes are limited to specific control scenes with a single control function, and their convenience, the success rate and accuracy rate are lower. To solve these problems, two basic instruction algorithms, continuous instruction algorithm model and Boolean instruction algorithm model, are proposed. A complex control task under various scenarios will be divided into two types of instruction algorithm models mentioned above through three steps: function decomposition, instruction extraction, and model matching. The model takes the 3-D coordinates of the hand and the hand posture as the input conditions to realize the state jump and the instruction output. After practical work and comparison, the proposed control strategy can be implemented in many cases, and the algorithm proposed in this paper has high success rate, accuracy and robustness.