模式
人机交互
假手
刺激形态
手势
工程类
计算机科学
感觉系统
人工智能
心理学
社会科学
社会学
认知心理学
作者
Kai Guo,Jingxin Lu,Yuwen Wu,Xuhui Hu,Hongbo Yang
出处
期刊:Micromachines
[Multidisciplinary Digital Publishing Institute]
日期:2024-07-08
卷期号:15 (7): 891-891
被引量:7
摘要
Bionic prosthetic hands hold the potential to replicate the functionality of human hands. The use of bionic limbs can assist amputees in performing everyday activities. This article systematically reviews the research progress on bionic prostheses, with a focus on control mechanisms, sensory feedback integration, and mechanical design innovations. It emphasizes the use of bioelectrical signals, such as electromyography (EMG), for prosthetic control and discusses the application of machine learning algorithms to enhance the accuracy of gesture recognition. Additionally, the paper explores advancements in sensory feedback technologies, including tactile, visual, and auditory modalities, which enhance user interaction by providing essential environmental feedback. The mechanical design of prosthetic hands is also examined, with particular attention to achieving a balance between dexterity, weight, and durability. Our contribution consists of compiling current research trends and identifying key areas for future development, including the enhancement of control system integration and improving the aesthetic and functional resemblance of prostheses to natural limbs. This work aims to inform and inspire ongoing research that seeks to refine the utility and accessibility of prosthetic hands for amputees, emphasizing user-centric innovations.
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