SmartASL: "Point-of-Care" Comprehensive ASL Interpreter Using Wearables

  • Yincheng Jin
  • , Shibo Zhang
  • , Yang Gao
  • , Xuhai Xu
  • , Seokmin Choi
  • , Zhengxiong Li
  • , Henry J. Adler
  • , Zhanpeng Jin*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Sign language builds up an important bridge between the d/Deaf and hard-of-hearing (DHH) and hearing people. Regrettably, most hearing people face challenges in comprehending sign language, necessitating sign language translation. However, state-of-the-art wearable-based techniques mainly concentrate on recognizing manual markers (e.g., hand gestures), while frequently overlooking non-manual markers, such as negative head shaking, question markers, and mouthing. This oversight results in the loss of substantial grammatical and semantic information in sign language. To address this limitation, we introduce SmartASL, a novel proof-of-concept system that can 1) recognize both manual and non-manual markers simultaneously using a combination of earbuds and a wrist-worn IMU, and 2) translate the recognized American Sign Language (ASL) glosses into spoken language. Our experiments demonstrate the SmartASL system's significant potential to accurately recognize the manual and non-manual markers in ASL, effectively bridging the communication gaps between ASL signers and hearing people using commercially available devices.

Original languageEnglish
Article number3596255
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume7
Issue number2
DOIs
StatePublished - 12 Jun 2023

Keywords

  • Comprehensive ASL Recognition
  • Earbuds
  • Manual Markers
  • Non-manual Markers
  • Smartwatch

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