TY -的A2蔡Sang-Bing盟——张,天平盟——张,博盟——刘,Lei盟——刘、杨PY - 2021 DA - 2021/10/27 TI -运动态度识别和行为预测算法基于无线传感器网络的SP - 3994003六世- 2021 AB -无线传感器网络物理信息系统不可或缺的一部分。分散传感器通过一组特殊的空间跟踪和记录环境的自然状态和管理信息收集在一个中央位置。传感器使用无线连接来创建自己的网络。无线传感器网络技术的灵活部署和使用方便的优点,发挥了重要作用领域的用户行为识别。通过部署无线传感器网络技术,用户可以收集日常信息,捕捉用户的行为习惯,并分析用户的健康状况。在部署和应用这种类型的技术,是非常重要的建立一个有效的模型的逻辑顺序关系监控人的行为。传感器数据可以通过无线传输发送到目标用户。动作识别通常是基于单一特征对学习和判断,因此在实际应用中有许多困难。本文旨在研究运动动摇意识和行动基于无线传感器网络的预测算法。针对人体姿势识别算法的研究,优化模型的整体性能,本文建议使用多通道输入,使用一个2 d和3 d网络结构,最后,提出了两个网络加权融合策略。 Aiming at the research of pedestrian motion discrimination, this article offers a behavior prediction algorithm based on multifeature joint learning. The algorithm adds the feature vectors output by gesture recognition and mask prediction and uses a cross-entropy cost function to jointly learn and predict classification. The results of the survey show that the pedestrian gesture recognition and motion recognition algorithm based on the wireless sensor network proposed in this paper has good performance and can be widely used in real scenes such as video surveillance. The accuracy of the gesture recognition algorithm in the UCF101 dataset and the HMDB51 dataset was 96% and 72%, respectively. SN - 1574-017X UR - https://doi.org/10.1155/2021/3994003 DO - 10.1155/2021/3994003 JF - Mobile Information Systems PB - Hindawi KW - ER -