A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy

Jiayuan Sun

doi:10.47297/taposatWSP2633-456914.20260704

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A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy

Volume 7, Issue 4

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A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy
A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy
School of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, Jiangsu, 215104, China
Vol. 7, Issue 4, Pages: 82-88(2026)
Published：30 April 2026
DOI：10.47297/taposatWSP2633-456914.20260704
Accepted：

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Sun Jiayuan.A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy[J].Theory and Practice of Science and Technology,2026,07(04):82-88.
DOI：

Sun Jiayuan.A Review of Human-Machine Interaction Methods for Consumer Drones in the Context of the Low-Altitude Economy[J].Theory and Practice of Science and Technology,2026,07(04):82-88. DOI： 10.47297/taposatWSP2633-456914.20260704.

摘要

Abstract

With the rapid rise of the low-altitude economy

consumer-grade drones have become widely adopted in the market. Their human-machine interaction design has become a key factor influencing user experience and expanding application scenarios

and is also a key focus of current industry research and innovation.This paper takes human-computer interaction methods in consumer drones as its research subject

reviewing the research hot spots

achievements and shortcomings in this field both domestically and internationally. Based on user experience design and affective design theories

it focuses on analyzing the design principles

technical support and application optimization pathways for gesture

voice and visual interactions.Furthermore

by focusing on the stratification of user needs

the paper explores in depth the design of interaction adaptability for different age groups. Combining optimization strategies for auditory and visual feedback from affective design

it constructs an interaction design framework tailored to the diverse needs of users. Additionally

the paper analyses the existing issues and challenges in current human-computer interaction design and looks ahead to future trends in the deep integration of interaction technology and intelligence

aiming to provide a reference for the development of human-computer interaction design in consumer drones.

关键词

Keywords

references

Mashood, A., Noura, H., Jawhar, I., & Mohamed, N. (2015, May). A gesture based kinect for quadrotor control. In 2015 International Conference on Information and Communication Technology Research (ICTRC) (pp. 298-301). IEEE.

Zhou, Y., Hou, J., & Gong, Y. (2020, December). Research and application of human-computer interaction technology based on voice control in ground control station of UAV. In 2020 IEEE 6th International conference on computer and communications (ICCC) (pp. 1257-1262). IEEE.

Shenzhen DJI Innovation Technology Co., Ltd. (2019). A method, apparatus and mobile platform for posture recognition. CN109923583A.

Xue, Z., Chen, X., He, Y., & Zhang, J. (2022). Gesture- and vision-based automatic grasping and flexible placement in teleoperation. International Journal of Advanced Manufacturing Technology, 122(1), 117–132.

Yu, J. M., Qin, M. W., & Zhou, S. B. (2022). Dynamic gesture recognition based on 2D convolutional neural network and feature fusion. Scientific Reports, 12(1), 4345.

Akagi, J., Morris, T. D., Moon, B., Chen, X., & Peterson, C. K. (2021). Gesture commands for controlling high-level UAV behavior. SN Applied Sciences, 3(6), 603.

DelPreto, J., & Rus, D. (2020, March). Plug-and-play gesture control using muscle and motion sensors. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 439-448).

Shin, S. Y., Kang, Y. W., & Kim, Y. G. (2019, January). Hand gesture-based wearable human-drone interface for intuitive movement control. In 2019 IEEE international conference on consumer electronics (ICCE) (pp. 1-6). IEEE.