An AI-driven, wearable, conformal ring system for real-time and user-independent sign language interpretation

Sign language translation systems have long aimed to bridge the communication between signers and non-signers. However, preliminary systems rely on glove-type wearables or wired sensor arrays, which constrain hand movement, reduce comfort, and require non-personalized sensor positions that limit adaptability across users. Here, we introduce a wirelessly-connected, ring-type sign language translator (WRSLT) designed to overcome these limitations by enabling full finger mobility through independent sensor rings and multi-link communication. The system supports static and dynamic gesture detection using selected fingers via quantitative relevance analysis, and achieves robust user-independent performance without per-user calibration. WRSLT demonstrated high recognition accuracy on large-scale datasets comprising 100 American Sign Language and 100 International Sign Language words, achieving 88.4% and 88.9% accuracy, respectively, under unseen-user conditions (i.e., test users not included ..., , , # Data from: An AI-driven, wearable, conformal ring system for real-time and user-independent sign language interpretation Dataset DOI: [10.5061/dryad.nvx0k6f5d](https://doi.org/10.5061/dryad.nvx0k6f5d) ## Description of the data and file structure This dataset contains training and test data for a 200-word sign language recognition system based on a wearable ring-type sensor platform (WRSLT: Wearable Ring-based Sign Language Translation system). The dataset includes both American Sign Language (ASL) and International Sign Language (ISL), enabling cross-language and user-independent recognition. The dataset is organized as follows: Raw_data.zip\ └── Raw_data/\ ├── Training Data/\ │ ├── Only ASL/\ │ ├── Only ISL/\ │ └── Same ASL ISL/\ ├── Test Data/\ │ ├── HJH_TEST_Final/\ │ ├── PJH_TEST_Final/\ │ └── SYJ_TEST_Final/\ ├── Sentence Data/\ └── Sequence Changed Sentence Data/ Added_signers.zip\ WRSLT_code.zip\ * **Training Data**\ The training dataset consists of 200 words (100 ASL ...,