中北大学学报（自然科学版）2024，Vol.45Issue(2)：146-157,12.DOI:10.3969/j.issn.1673-3193.2024.02.003
面向无人机的可穿戴手势识别综述
A Review of Wearable Gesture Recognition for Unmanned Aerial Vehicles
摘要
Abstract
One of the keys to the generalization of UAVs is the development of a natural and intuitive interaction method.Gesture,as one of the most common communication methods in our daily life,has become the focus of research on UAV human-computer interaction.Focusing on wearable gesture sensing and rec-ognition methods,this review analyzed the main gesture data acquisition methods such as electromyography,stress-strain,motion,ultrasound,and optoelectronic sensing,and proposed data processing and recognition algorithms for dynamic and static gestures.In addition,this review discussed the application of gesture recognition technology in real-time obstacle avoidance,path planning and trajectory tracking for UAVs.Finally,the key issues facing current gesture recognition technologies,including pervasiveness,robustness and real-time performance,were summarized,and future directions for wearable gesture recognition technologies were discussed.The close integration with biosensing technology,edge computing,cloud computing,reinforcement learning,adaptive learning,and multimodal data fusion,can drive gesture recognition technology toward higher accuracy,more natural interaction,and a wider range of application areas.关键词
可穿戴设备/手势识别/人机交互/无人机/传感技术Key words
wearable devices/gesture recognition/human-computer interaction/UAV/sensing technology分类
信息技术与安全科学引用本文复制引用
游昌欣,韩晶,方帆,任兵,李玉菡,曹杨,李洁..面向无人机的可穿戴手势识别综述[J].中北大学学报（自然科学版）,2024,45(2):146-157,12.基金项目
中央引导地方科技发展基金资助项目(51903225) （51903225）
中国航天伺服驱动与传动实验室开放基金资助项目(LASAT-20210302) （LASAT-20210302）
