基于深度学习的手势识别:综述

Meng Wu
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引用次数: 0

摘要

手势识别是现代人不可避免的一项重要技术,它的出现和改进大大提高了人们生活的便利性,也丰富了人们的生活。它在各个领域都有着广泛的应用。在日常生活中,它可以进行人机交互,使用智能家居。在医疗方面,它可以帮助病人康复,协助医生进行实验。在娱乐方面,它可以让用户身临其境地与游戏互动。本文选择了深度学习在手势识别中作用较为突出的三种技术,即 CNN、LSTM 和基于深度学习的迁移学习。它们各有优缺点。由于使用原理不同,不同的技术有不同的作用,如 CNN 可以进行特征提取,LSTM 可以处理长时间序列,迁移学习可以将从其他任务中学到的知识迁移到本任务中。根据不同的应用场景选择不同的实用技术,在实际应用中实时改进。基于深度学习的手势识别具有准确性好、鲁棒性强、可实时实现等优点,但也存在经济和时间成本巨大、硬件要求高等缺点。尽管存在一些挑战,但研究人员仍在不断优化和改进这项技术,相信在未来,手势识别技术会更加成熟和有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gesture Recognition Based on Deep Learning: A Review
Gesture recognition is an important and inevitable technology in modern times, its appearance and improvement greatly improve the convenience of people's lives, but also enrich people's lives. It has a wide range of applications in various fields. In daily life, it can carry out human-computer interaction and the use of smart home. In terms of medical treatment, it can help patients to recover and assist doctors to carry out experiments. In terms of entertainment, it allows users to interact with the game in an immersive manner. This paper chooses three technologies that deep learning plays a more prominent role in gesture recognition, namely CNNs, LSTM and transfer learning based on deep learning. They each have their own advantages and disadvantages. Because of the different principles of use, different techniques have different roles, such as CNNs can carry out feature extraction, LSTM can deal with long time series, transfer learning can transfer what is learned from another task to this task. Select different practical technologies according to different application scenarios, and make improvements in real time in practical applications. Gesture recognition based on deep learning has the advantages of good accuracy, robustness and real-time implementation, but it also bears the disadvantages of huge economic and time costs and high hardware requirements. Despite some challenges, researchers continue to optimize and improve the technology, and believe that in the future, gesture recognition technology will be more mature and valuable.
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