Yijia Lu, Fei Han, Lei Xie, Yafeng Yin, Congcong Shi, Sanglu Lu
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I Am the UAV: A Wearable Approach for Manipulation of Unmanned Aerial Vehicle
Nowadays, Unmanned Aerial Vehicles(UAVs) have been widely applied in our life. However, the existing approach of interacting with UAVs, i.e., using a remote controller with control sticks, is not a natural and intuitive way. In this paper, we present a novel approach for users to interact with personal UAVs using wearable devices. The basic idea of our approach is to manipulate UAVs based on human activity sensing, including motion recognition and pedestrian dead- reckoning. We have implemented the proposed approach on a DJI drone, and evaluated its performance in the real- world environment. Realistic experiment results show that our solution can replace the remote controller to manipulate the UAV.