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一种自适应、经济实惠、开源的机器人手,用于使用触觉美国手语进行聋人和视障人士的交流。

An Adaptive, Affordable, Open-Source Robotic Hand for Deaf and Deaf-Blind Communication Using Tactile American Sign Language.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4732-4737. doi: 10.1109/EMBC46164.2021.9629994.

DOI:10.1109/EMBC46164.2021.9629994
PMID:34892268
Abstract

Currently, ~ 1.5 million American deaf-blind individuals depend on the availability of interpreting services to communicate in their primary conversational language, tactile American Sign Language (ASL). In an effort to give the deaf-blind community access to a device that facilitates independent communication using tactile ASL, we developed TATUM (Tactile ASL Translational User Mechanism). TATUM employs 15 degrees of actuation in a hand-wrist system that is capable of signing the 26-letter ASL alphabet. Leveraging Interpres, an independent cloud-based service, all servo sequences that render desired fingerspelled letters and ASL words are stored in a web application programming interface (API). A validation study including both deaf and deaf-blind participants confirmed that the TATUM hand mimics a human hand both in size and feel. The current design of TATUM attained an average recognition rate of 94.7% in visual validation, indicative of the potential to support deaf and deaf-blind individuals in communicating via visual and tactile ASL.

摘要

目前,约有 150 万美国失聪失明人士依赖口译服务来使用他们的主要交流语言——美式手语(ASL)进行沟通。为了让失聪失明人士能够使用触觉 ASL 进行独立交流,我们开发了 TATUM(触觉 ASL 翻译用户机制)。TATUM 在手部腕部系统中采用了 15 个自由度的致动器,能够打出 ASL 字母表中的 26 个字母。利用独立的基于云的服务 Interpres,所有呈现所需手语字母和 ASL 单词的伺服序列都存储在一个 Web 应用程序编程接口(API)中。一项包括失聪人士和失聪失明人士在内的验证研究证实,TATUM 手在大小和触感上都模仿人手。TATUM 的当前设计在视觉验证中的平均识别率达到了 94.7%,这表明它有可能支持失聪和失聪失明人士通过视觉和触觉 ASL 进行交流。

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