使用esp32的聋哑人手语手套的研究进展

Uma Gautam, Md Ehsan Asgar, Rajeev Ranjan, Chandan Narayan
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引用次数: 0

摘要

手语手套是一种创新的可穿戴设备,可以帮助聋哑人与不懂手语的人交流。这些手套使用传感器和机器学习算法将手势翻译成口头或书面语言。本文概述了标识手套设计中使用的关键技术和材料,并讨论了与这一新兴领域相关的挑战和机遇。该综述还强调了标识手套制造的最新进展,例如3D打印和增材制造技术的使用,并探讨了该领域未来发展的潜力。本综述的目的是全面概述当前标识手套设计和制造的最新技术,并为未来的工作确定关键的研究方向。
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A REVIEW ON SIGN GLOVES FOR DUMB AND DEAF PEOPLES USING ESP32
Sign gloves are innovative wearable devices that can help people who are deaf to communicate with those who do not know sign language. These gloves use sensors and machine learning algorithms to translate hand gestures into spoken or written language. This paper provides an overview of the key technologies and materials used in sign glove design and discuss the challenges and opportunities associated with this emerging field. The review also highlights recent advances in sign glove fabrication, such as the use of 3D printing and additive manufacturing techniques, and explores the potential for future developments in this area. The objective of this review is to offer a comprehensive overview of the current state-of-the-art in sign glove design and fabrication and to identify critical research directions for future work.
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