research-article

SignRing: Continuous American Sign Language Recognition Using IMU Rings and Virtual IMU Data

Authors:

Siddharth Shah,

Zhanpeng JinAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 3

Article No.: 107, Pages 1 - 29

https://doi.org/10.1145/3610881

Published: 27 September 2023 Publication History

Abstract

Sign language is a natural language widely used by Deaf and hard of hearing (DHH) individuals. Advanced wearables are developed to recognize sign language automatically. However, they are limited by the lack of labeled data, which leads to a small vocabulary and unsatisfactory performance even though laborious efforts are put into data collection. Here we propose SignRing, an IMU-based system that breaks through the traditional data augmentation method, makes use of online videos to generate the virtual IMU (v-IMU) data, and pushes the boundary of wearable-based systems by reaching the vocabulary size of 934 with sentences up to 16 glosses. The v-IMU data is generated by reconstructing 3D hand movements from two-view videos and calculating 3-axis acceleration data, by which we are able to achieve a word error rate (WER) of 6.3% with a mix of half v-IMU and half IMU training data (2339 samples for each), and a WER of 14.7% with 100% v-IMU training data (6048 samples), compared with the baseline performance of the 8.3% WER (trained with 2339 samples of IMU data). We have conducted comparisons between v-IMU and IMU data to demonstrate the reliability and generalizability of the v-IMU data. This interdisciplinary work covers various areas such as wearable sensor development, computer vision techniques, deep learning, and linguistics, which can provide valuable insights to researchers with similar research objectives.

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Cited By

Li XLiu SZhou ZGuo BXu YYu Z(2024)EchoPFLProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435608:1(1-22)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643560
Khaokaew YXue HSalim F(2024)MAPLEProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435148:1(1-25)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643514
Chen WHu YSong WLiu YTorralba AMatusik W(2024)CAvatarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314247:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631424
Show More Cited By

Index Terms

SignRing: Continuous American Sign Language Recognition Using IMU Rings and Virtual IMU Data
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. Interaction techniques
      1. Auditory feedback
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
      1. Ubiquitous computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 3

September 2023

1734 pages

EISSN:2474-9567

DOI:10.1145/3626192

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Copyright © 2023 ACM.

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Published: 27 September 2023

Published in IMWUT Volume 7, Issue 3

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Cited By

Li XLiu SZhou ZGuo BXu YYu Z(2024)EchoPFLProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435608:1(1-22)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643560
Khaokaew YXue HSalim F(2024)MAPLEProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435148:1(1-25)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643514
Chen WHu YSong WLiu YTorralba AMatusik W(2024)CAvatarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314247:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631424
Liao PWang XAn LMao SZhao TYang C(2024)TFSemantic: A Time–Frequency Semantic GAN Framework for Imbalanced Classification Using Radio SignalsACM Transactions on Sensor Networks10.1145/361409620:4(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3614096
Hohman FKery MRen DMoritz D(2024)Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning ExperiencesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642109(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642109
Zhou HLu TDeHaan KGowda M(2024)ASLRing: American Sign Language Recognition with Meta-Learning on Wearables2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI61053.2024.00022(203-214)Online publication date: 13-May-2024
https://doi.org/10.1109/IoTDI61053.2024.00022
Zhang HWang LSheng YXu XMankoff JDey A(2023)A Framework for Designing Fair Ubiquitous Computing SystemsAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610677(366-373)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594739.3610677

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