Personal drones are more and more present in our lives and acting as "flying cameras" is one of their most prominent applications. In this work, we conduct a synopsis of the scientific literature on humandrone interaction to identify system functions and corresponding commands for controlling drone-based aerial photography and video, from which we compile a dictionary of interactions. We also discuss opportunities for more research at the intersection of drone computing, augmented vision, and personal photography.
CCS CONCEPTS• Human-centered computing → User interface design; • Applied computing → Avionics.
We present in this paper the results of a frequency analysis of gesture commands frequently employed for human- drone interaction in the scientific literature, and we propose a set of gestures for controlling drones that can be performed with smart rings. Our method consists in the analysis of thirty-seven articles, which we examined closely to extract commands for human-drone interaction, including voice, gesture, and multi- modal input. Based on our meta-analysis, we present a set of six groups of commands for human-drone interaction together with a set of smart ring gestures to interact with and control drones. Our results can be used to inform the design of new interactive applications for controlling smart-ring drones.
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