TY -的A2 - Lv, Zhihan AU - Li Xiangkun盟——太阳,国庆AU - Li Yifei PY - 2021 DA - 2021/10/14 TI -人类运动表示和运动模式识别基于复杂模糊理论SP - 9923748六世- 2021 AB -随着科学技术的发展,虚拟现实技术的引入使得人机交互技术的发展到一个新的高度。虚拟现实和人机交互技术已经越来越多的应用在军事仿真、医疗康复、创造游戏,和其他领域。行动是人类行为的基础。其中,人类行为和行为分析是一个重要的研究方向。在人类行为和行动,识别研究基于行为和行动方便的特点,直觉,强相互作用力、丰富的表达信息,等等。它已经成为许多研究人员对人类行为分析的第一选择。然而,人类运动和电影与许多模糊因素复杂的对象,这是很难表达和处理。传统的运动识别通常是基于二维彩色图像,而二维RGB图像易受背景干扰,光线,环境和其他因素干扰人类的目标探测。近年来,越来越多的研究人员开始使用模糊数学理论来识别人类的行为。足底压力不同运动模式下的数据是通过实验收集的,和当前步态信息进行了分析。 The key gait events including toe-off and heel touch were identified by dynamic baseline monitoring. For the error monitoring of key gait events, the screen window is used to filter the repeated recognition events in a certain period of time, which greatly improves the recognition accuracy and provides important gait information for motion pattern recognition. The similarity matching is performed on each template, the correct rate of motion feature extraction is 90.2%, and the correct rate of motion pattern recognition is 96.3%, which verifies the feasibility and effectiveness of human motion recognition based on fuzzy theory. It is hoped to provide processing techniques and application examples for artificial intelligence recognition applications. SN - 1076-2787 UR - https://doi.org/10.1155/2021/9923748 DO - 10.1155/2021/9923748 JF - Complexity PB - Hindawi KW - ER -