计算机科学
活动识别
人工智能
互补性(分子生物学)
雷达
计算机视觉
传感器融合
融合
雷达成像
实时计算
电信
语言学
遗传学
生物
哲学
作者
Wenlong Li,Xinxin Feng,He Zhao,Haifeng Zheng
标识
DOI:10.1109/iccc54389.2021.9674543
摘要
As we are getting deeper into the world of human-computer interaction, the human activity recognition technology becomes more and more important. Due to the complexity of the actual environment, we need a more reliable and powerful system that can recognize human activities in a variety of environments with high accuracy. Taking these factors into consideration, we propose a human activity recognition method based on data fusion of the FMCW radar and image, which uses the complementarity of the different data to improve the performance of the system. Apart from this, the domain adaptation is applied to reduce the data differences caused by the changes of environments and user habits in the practical application. Finally, we have implemented real-time applications based on the proposed algorithm on the edge computing platform. The experimental results show that the recognition accuracy of the fusion system can reach 98.7%, and the average running time of the real-time system is about 0.17s.
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